CRAN Package Check Results for Package pathfindR

Last updated on 2019-11-26 00:52:00 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.4.1 28.04 292.34 320.38 ERROR
r-devel-linux-x86_64-debian-gcc 1.4.1 25.73 226.37 252.10 ERROR
r-devel-linux-x86_64-fedora-clang 1.4.1 532.04 NOTE
r-devel-linux-x86_64-fedora-gcc 1.4.1 519.02 OK
r-devel-windows-ix86+x86_64 1.4.1 68.00 450.00 518.00 NOTE
r-devel-windows-ix86+x86_64-gcc8 1.4.1 53.00 391.00 444.00 NOTE
r-patched-linux-x86_64 1.4.1 26.21 399.57 425.78 OK
r-patched-solaris-x86 1.4.1 58.60 ERROR
r-release-linux-x86_64 1.4.1 27.22 423.10 450.32 OK
r-release-windows-ix86+x86_64 1.4.1 65.00 497.00 562.00 NOTE
r-release-osx-x86_64 1.4.1 ERROR
r-oldrel-windows-ix86+x86_64 1.3.0 272.00 681.00 953.00 NOTE
r-oldrel-osx-x86_64 1.4.1 ERROR

Check Details

Version: 1.4.1
Check: tests
Result: ERROR
     Running 'testthat.R' [125s/119s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > ##################################################
     > ## Project: pathfindR
     > ## Script purpose: Main test_check script
     > ## Date: Aug 28, 2019
     > ## Author: Ege Ulgen
     > ##################################################
     >
     > library(testthat)
     > library(pathfindR)
     ##############################################################################
     Welcome to pathfindR!
    
     Please cite the article below if you use pathfindR in published reseach:
    
     Ulgen E, Ozisik O, Sezerman OU. 2019. pathfindR: An R Package for Comprehensive
     Identification of Enriched Pathways in Omics Data Through Active Subnetworks.
     Front. Genet. doi:10.3389/fgene.2019.00858
    
     ##############################################################################
     >
     > test_check("pathfindR")
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     pathfindR
     --- call from context ---
     cluster_graph_vis(clu_obj, kappa_mat, enrichment_res)
     --- call from argument ---
     if (class(clu_obj) == "matrix") {
     if (!all(rownames(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 < kappa_threshold, 0, kappa_mat2)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     values <- apply(clu_obj, 1, function(x) which(x))
     percs <- list()
     for (i in base::seq_len(length(values))) {
     percs[[i]] <- rep(1/length(values[[i]]), length(values[[i]]))
     }
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     if (length(all_cols) < max(as.integer(colnames(clu_obj)))) {
     num_extra <- max(as.integer(colnames(clu_obj))) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$shape <- ifelse(vapply(percs, length, 1) > 1,
     "pie", "circle")
     cols <- lapply(values, function(x) all_cols[x])
     igraph::V(g)$color <- vapply(cols, function(x) x[1], "")
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, vertex.pie = percs, vertex.pie.color = cols,
     layout = igraph::layout_nicely(g), edge.curved = FALSE,
     vertex.label.dist = 0, vertex.label.color = "black",
     asp = 1, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     } else if (class(clu_obj) == "integer") {
     if (!all(names(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 > kappa_threshold, kappa_mat2,
     0)
     missing <- names(clu_obj)[!names(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- names(clu_obj)[!names(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     igraph::V(g)$Clu <- clu_obj[match(igraph::V(g)$name, names(clu_obj))]
     if (length(all_cols) < max(as.integer(igraph::V(g)$Clu))) {
     num_extra <- max(clu_obj) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$color <- all_cols[as.integer(igraph::V(g)$Clu)]
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, layout = igraph::layout_nicely(g),
     edge.curved = FALSE, vertex.label.dist = 0, vertex.label.color = "black",
     asp = 0, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     } else {
     stop("Invalid class for `clu_obj`!")
     }
     --- R stacktrace ---
     where 1: cluster_graph_vis(clu_obj, kappa_mat, enrichment_res)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withVisible(code)
     where 4: withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message)
     where 5: force(code)
     where 6: withr::with_output_sink(temp, withCallingHandlers(withVisible(code),
     warning = handle_warning, message = handle_message))
     where 7: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 8: quasi_capture(enquo(object), NULL, evaluate_promise)
     where 9 at testthat/test-clustering_functions.R#208: expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res))
     where 10: eval(code, test_env)
     where 11: eval(code, test_env)
     where 12: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 15: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 16: doTryCatch(return(expr), name, parentenv, handler)
     where 17: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 18: tryCatchList(expr, classes, parentenv, handlers)
     where 19: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 20: test_code(desc, code, env = parent.frame())
     where 21 at testthat/test-clustering_functions.R#196: test_that("Graph visualization of clusters via `cluster_graph_vis()` works OK",
     {
     enrichment_res <- RA_output[1:5, ]
     kappa_mat <- create_kappa_matrix(enrichment_res)
     clu_obj <- hierarchical_term_clustering(kappa_mat, enrichment_res)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res))
     clu_obj <- fuzzy_term_clustering(kappa_mat, enrichment_res)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res))
     kappa_mat <- create_kappa_matrix(enrichment_res, use_description = TRUE)
     clu_obj <- hierarchical_term_clustering(kappa_mat, enrichment_res,
     use_description = TRUE)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res,
     use_description = TRUE))
     clu_obj <- fuzzy_term_clustering(kappa_mat, enrichment_res,
     use_description = TRUE)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res,
     use_description = TRUE))
     })
     where 22: eval(code, test_env)
     where 23: eval(code, test_env)
     where 24: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 27: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 28: doTryCatch(return(expr), name, parentenv, handler)
     where 29: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 30: tryCatchList(expr, classes, parentenv, handlers)
     where 31: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 32: test_code(NULL, exprs, env)
     where 33: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 34: force(code)
     where 35: doWithOneRestart(return(expr), restart)
     where 36: withOneRestart(expr, restarts[[1L]])
     where 37: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 38: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 39: FUN(X[[i]], ...)
     where 40: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 41: force(code)
     where 42: doWithOneRestart(return(expr), restart)
     where 43: withOneRestart(expr, restarts[[1L]])
     where 44: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 45: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 46: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 47: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 48: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 49: test_check("pathfindR")
    
     --- value of length: 2 type: logical ---
     [1] TRUE FALSE
     --- function from context ---
     function (clu_obj, kappa_mat, enrichment_res, kappa_threshold = 0.35,
     use_description = FALSE)
     {
     chosen_id <- ifelse(use_description, which(colnames(enrichment_res) ==
     "Term_Description"), which(colnames(enrichment_res) ==
     "ID"))
     all_cols <- c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
     "#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999",
     "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854",
     "#FFD92F", "#E5C494", "#B3B3B3", "#8DD3C7", "#FFFFB3",
     "#BEBADA", "#FB8072", "#80B1D3", "#FDB462", "#B3DE69",
     "#FCCDE5", "#D9D9D9", "#BC80BD", "#CCEBC5", "#FFED6F",
     "#A6CEE3", "#1F78B4", "#B2DF8A", "#33A02C", "#FB9A99",
     "#E31A1C", "#FDBF6F", "#FF7F00", "#CAB2D6", "#6A3D9A",
     "#FFFF99", "#B15928")
     if (class(clu_obj) == "matrix") {
     if (!all(rownames(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 < kappa_threshold, 0,
     kappa_mat2)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in%
     colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in%
     rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     values <- apply(clu_obj, 1, function(x) which(x))
     percs <- list()
     for (i in base::seq_len(length(values))) {
     percs[[i]] <- rep(1/length(values[[i]]), length(values[[i]]))
     }
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2,
     weighted = TRUE)
     if (length(all_cols) < max(as.integer(colnames(clu_obj)))) {
     num_extra <- max(as.integer(colnames(clu_obj))) -
     length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$shape <- ifelse(vapply(percs, length, 1) >
     1, "pie", "circle")
     cols <- lapply(values, function(x) all_cols[x])
     igraph::V(g)$color <- vapply(cols, function(x) x[1],
     "")
     p_idx <- match(names(igraph::V(g)), enrichment_res[,
     chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, vertex.pie = percs, vertex.pie.color = cols,
     layout = igraph::layout_nicely(g), edge.curved = FALSE,
     vertex.label.dist = 0, vertex.label.color = "black",
     asp = 1, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     }
     else if (class(clu_obj) == "integer") {
     if (!all(names(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 > kappa_threshold, kappa_mat2,
     0)
     missing <- names(clu_obj)[!names(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- names(clu_obj)[!names(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2,
     weighted = TRUE)
     igraph::V(g)$Clu <- clu_obj[match(igraph::V(g)$name,
     names(clu_obj))]
     if (length(all_cols) < max(as.integer(igraph::V(g)$Clu))) {
     num_extra <- max(clu_obj) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$color <- all_cols[as.integer(igraph::V(g)$Clu)]
     p_idx <- match(names(igraph::V(g)), enrichment_res[,
     chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, layout = igraph::layout_nicely(g),
     edge.curved = FALSE, vertex.label.dist = 0, vertex.label.color = "black",
     asp = 0, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     }
     else {
     stop("Invalid class for `clu_obj`!")
     }
     }
     <bytecode: 0x669d458>
     <environment: namespace:pathfindR>
     --- function search by body ---
     Function cluster_graph_vis in namespace pathfindR has this body.
     ----------- END OF FAILURE REPORT --------------
     Fatal error: the condition has length > 1
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.4.1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building 'intro_vignette.Rmd' using rmarkdown
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
    :
     --- package (from environment) ---
    pathfindR
     --- call from context ---
    cluster_graph_vis(clu_obj = c(FALSE, TRUE, TRUE, TRUE, FALSE,
    TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
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    -0.0254614894971367, 0.379668848671544, 0.0790996784565911, 0.202418841502227,
    0.444345898004434, -0.0275545350172228, 0.312859884836852, -0.015122873345933,
    -0.0292733925771034, -0.0319290465631927, -0.0254614894971367,
    -0.0254614894971367, -0.0228571428571413, -0.0254614894971367,
    -0.0254614894971367, -0.0195280716029301, 0.488571428571429,
    -0.0275545350172228, -0.0275545350172228, 0.379668848671544,
    -0.0195280716029301, -0.0228571428571413, -0.0275545350172228,
    -0.0292733925771034, -0.0292733925771034, -0.0275545350172228,
    -0.0292733925771034, 0.488571428571429, -0.0228571428571413,
    0.488571428571429, 0.241817481709665, 0.345007841087297, -0.0292733925771034,
    0.383467278989668, 0.488571428571429, 0.383467278989668, 0.157867224255097,
    0.141074856046064, 0.232857142857144, -0.0228571428571413, 0.43029917250159,
    0.232857142857144, 0.114591920857378, -0.0195280716029301, -0.015122873345933,
    0.271765663140764, -0.0228571428571413, 0.285587583148559, -0.0254614894971367,
    -0.0275545350172228, 0.114591920857378, 0.345007841087297, -0.0275545350172228,
    -0.0228571428571413, -0.0228571428571413, -0.0195280716029301,
    -0.0254614894971367, 0.563059397884458, 1, 0.43029917250159,
    -0.0275545350172228, -0.0254614894971367, -0.0275545350172228,
    -0.0420439844760674, -0.03725165562914, -0.03725165562914, -0.03725165562914,
    -0.0287356321839083, -0.0399419026870005, -0.0356030262572318,
    -0.0420439844760674, 0.176632934682613, -0.03725165562914, -0.0336862367661219,
    -0.0213980028530667, -0.0410537119397872, 0.37678916827853, 0.238297872340426,
    -0.03725165562914, -0.0386847195357823, -0.0314300680984804,
    -0.0254614894971367, -0.0287356321839083, -0.0254614894971367,
    -0.0287356321839083, -0.0410537119397872, 0.0998065764023219,
    0.31087584215592, 0.31087584215592, -0.0356030262572318, 0.48315688161694,
    0.382758620689656, -0.0314300680984804, -0.0213980028530667,
    -0.0336862367661219, -0.0287356321839083, 0.350036310820624,
    -0.0429316160686914, -0.0287356321839083, 0.2591059602649, -0.0314300680984804,
    0.442367601246106, -0.0162206001622067, -0.0336862367661219,
    -0.03725165562914, -0.0287356321839083, -0.0287356321839083,
    0.202418841502227, -0.0287356321839083, -0.0287356321839083,
    -0.0213980028530667, 0.658179503500954, -0.0314300680984804,
    -0.0314300680984804, 0.4800290486565, -0.0213980028530667, -0.0254614894971367,
    -0.0314300680984804, -0.0336862367661219, -0.0336862367661219,
    -0.0314300680984804, -0.0336862367661219, 0.658179503500954,
    -0.0254614894971367, 0.658179503500954, 0.350036310820624, 0.31087584215592,
    0.138594802694898, 0.718700890518596, 0.658179503500954, 0.531168150864327,
    -0.0336862367661219, -0.0356030262572318, 0.202418841502227,
    -0.0254614894971367, 0.588505747126438, -0.0254614894971367,
    -0.0386847195357823, -0.0213980028530667, -0.0162206001622067,
    -0.0213980028530667, -0.0254614894971367, 0.407284768211921,
    -0.0287356321839083, -0.0314300680984804, -0.0386847195357823,
    0.31087584215592, -0.0314300680984804, -0.0254614894971367, 0.202418841502227,
    -0.0213980028530667, -0.0287356321839083, 0.489300998573467,
    0.43029917250159, 1, -0.0314300680984804, -0.0287356321839083,
    -0.0314300680984804, -0.0480739599383677, -0.0419091967403949,
    0.0970120294916577, -0.0419091967403949, -0.0314300680984804,
    -0.0453452421848158, 0.108713692946058, -0.0480739599383677,
    -0.0492379835873389, -0.0419091967403949, -0.0374498439589836,
    -0.0228571428571439, 0.0695256660168942, -0.0437317784256566,
    -0.0437317784256566, -0.0419091967403949, -0.0437317784256566,
    0.13776493256262, -0.0275545350172228, -0.0314300680984804, -0.0275545350172228,
    -0.0314300680984804, -0.0467836257309939, -0.0437317784256566,
    -0.0374498439589836, -0.0374498439589836, -0.0398340248962658,
    -0.0374498439589836, -0.0314300680984804, -0.0346820809248553,
    -0.0228571428571439, -0.0374498439589836, -0.0314300680984804,
    -0.0453452421848158, 0.0556858147713949, 0.156102671555789, -0.0419091967403949,
    -0.0346820809248553, -0.0398340248962658, -0.0170454545454528,
    -0.0374498439589836, -0.0419091967403949, -0.0314300680984804,
    -0.0314300680984804, -0.0275545350172228, -0.0314300680984804,
    -0.0314300680984804, -0.0228571428571439, -0.0275545350172228,
    -0.0346820809248553, -0.0346820809248553, -0.0453452421848158,
    -0.0228571428571439, -0.0275545350172228, -0.0346820809248553,
    -0.0374498439589836, -0.0374498439589836, -0.0346820809248553,
    -0.0374498439589836, -0.0275545350172228, -0.0275545350172228,
    -0.0275545350172228, -0.0453452421848158, -0.0374498439589836,
    -0.0374498439589836, -0.0346820809248553, -0.0275545350172228,
    -0.0346820809248553, -0.0374498439589836, -0.0398340248962658,
    -0.0275545350172228, -0.0275545350172228, -0.0314300680984804,
    -0.0275545350172228, -0.0437317784256566, -0.0228571428571439,
    -0.0170454545454528, -0.0228571428571439, -0.0275545350172228,
    -0.0419091967403949, -0.0314300680984804, -0.0346820809248553,
    -0.0437317784256566, -0.0374498439589836, 0.13776493256262, -0.0275545350172228,
    -0.0275545350172228, -0.0228571428571439, -0.0314300680984804,
    -0.0228571428571439, -0.0275545350172228, -0.0314300680984804,
    1, -0.0314300680984804, -0.0346820809248553, -0.0420439844760674,
    -0.03725165562914, -0.03725165562914, 0.2591059602649, -0.0287356321839083,
    -0.0399419026870005, 0.283044058744993, -0.0420439844760674,
    -0.0429316160686914, 0.2591059602649, -0.0336862367661219, -0.0213980028530667,
    -0.0410537119397872, 0.0998065764023219, -0.0386847195357823,
    0.2591059602649, 0.37678916827853, 0.156102671555789, 0.202418841502227,
    -0.0287356321839083, -0.0254614894971367, -0.0287356321839083,
    0.326377009921314, -0.0386847195357823, -0.0336862367661219,
    0.31087584215592, 0.123720516243881, 0.138594802694898, -0.0287356321839083,
    -0.0314300680984804, 0.2339514978602, 0.48315688161694, -0.0287356321839083,
    0.220043572984749, 0.176632934682613, -0.0287356321839083, 0.555463576158941,
    -0.0314300680984804, 0.283044058744993, -0.0162206001622067,
    0.138594802694898, 0.2591059602649, 0.177011494252875, -0.0287356321839083,
    0.202418841502227, -0.0287356321839083, -0.0287356321839083,
    -0.0213980028530667, -0.0254614894971367, 0.531168150864327,
    0.156102671555789, -0.0399419026870005, -0.0213980028530667,
    -0.0254614894971367, -0.0314300680984804, -0.0336862367661219,
    -0.0336862367661219, 0.156102671555789, -0.0336862367661219,
    -0.0254614894971367, 0.43029917250159, -0.0254614894971367, -0.0399419026870005,
    -0.0336862367661219, 0.138594802694898, 0.156102671555789, -0.0254614894971367,
    -0.0314300680984804, 0.31087584215592, 0.283044058744993, -0.0254614894971367,
    -0.0254614894971367, -0.0287356321839083, 0.202418841502227,
    0.238297872340426, -0.0213980028530667, 0.274128142741281, -0.0213980028530667,
    0.658179503500954, -0.03725165562914, 0.382758620689656, -0.0314300680984804,
    0.0998065764023219, -0.0336862367661219, -0.0314300680984804,
    0.43029917250159, 0.202418841502227, -0.0213980028530667, -0.0287356321839083,
    -0.0213980028530667, -0.0254614894971367, -0.0287356321839083,
    -0.0314300680984804, 1, 0.531168150864327, -0.0480739599383677,
    -0.0419091967403949, -0.0419091967403949, 0.23593325572371, -0.0314300680984804,
    -0.0453452421848158, 0.257261410788381, -0.0480739599383677,
    -0.0492379835873389, 0.374854481955763, -0.0374498439589836,
    -0.0228571428571439, -0.0467836257309939, 0.0867346938775503,
    -0.0437317784256566, 0.23593325572371, 0.217201166180757, 0.310211946050098,
    0.177956371986223, -0.0314300680984804, -0.0275545350172228,
    -0.0314300680984804, 0.30214424951267, 0.0867346938775503, -0.0374498439589836,
    0.28176549264378, 0.108713692946058, 0.122157824342398, -0.0314300680984804,
    -0.0346820809248553, 0.204444444444443, 0.441373160945162, -0.0314300680984804,
    0.200618344211611, 0.265533411488862, -0.0314300680984804, 0.374854481955763,
    -0.0346820809248553, 0.108713692946058, -0.0170454545454528,
    0.122157824342398, 0.23593325572371, 0.156102671555789, -0.0314300680984804,
    0.177956371986223, -0.0314300680984804, -0.0314300680984804,
    -0.0228571428571439, -0.0275545350172228, 0.310211946050098,
    0.13776493256262, -0.0453452421848158, -0.0228571428571439, -0.0275545350172228,
    -0.0346820809248553, -0.0374498439589836, -0.0374498439589836,
    0.13776493256262, -0.0374498439589836, -0.0275545350172228, 0.383467278989668,
    -0.0275545350172228, -0.0453452421848158, -0.0374498439589836,
    -0.0374498439589836, 0.13776493256262, -0.0275545350172228, -0.0346820809248553,
    0.28176549264378, 0.405809128630706, -0.0275545350172228, -0.0275545350172228,
    -0.0314300680984804, 0.177956371986223, 0.217201166180757, -0.0228571428571439,
    0.23721590909091, -0.0228571428571439, 0.383467278989668, -0.0419091967403949,
    0.156102671555789, -0.0346820809248553, 0.0867346938775503, -0.0374498439589836,
    -0.0346820809248553, 0.177956371986223, 0.177956371986223, -0.0228571428571439,
    -0.0314300680984804, 0.204444444444443, -0.0275545350172228,
    -0.0314300680984804, -0.0346820809248553, 0.531168150864327,
    1), enrichment_res = list(ID = c("hsa03040", "hsa00190", "hsa05012",
    "hsa04932", "hsa03410", "hsa05010", "hsa04064", "hsa05016", "hsa04714",
    "hsa04659", "hsa03010", "hsa03430", "hsa03013", "hsa05418", "hsa04921",
    "hsa04722", "hsa05167", "hsa04630", "hsa04931", "hsa04130", "hsa05230",
    "hsa04260", "hsa05163", "hsa05202", "hsa05225", "hsa04210", "hsa05203",
    "hsa05131", "hsa05132", "hsa03015", "hsa04920", "hsa05235", "hsa04066",
    "hsa05130", "hsa05166", "hsa04110", "hsa05164", "hsa04140", "hsa05135",
    "hsa03050", "hsa04150", "hsa05170", "hsa04660", "hsa05034", "hsa05215",
    "hsa03420", "hsa04922", "hsa00020", "hsa05100", "hsa04621", "hsa04625",
    "hsa04145", "hsa03030", "hsa00620", "hsa04728", "hsa04020", "hsa04371",
    "hsa04910", "hsa04270", "hsa05412", "hsa05212", "hsa04510", "hsa04015",
    "hsa05110", "hsa05133", "hsa05205", "hsa05410", "hsa04810", "hsa05169",
    "hsa04658", "hsa04971", "hsa05031", "hsa05414", "hsa05220", "hsa04014",
    "hsa03460", "hsa05221", "hsa04012", "hsa05142", "hsa04530", "hsa04620",
    "hsa00330", "hsa05152", "hsa04919", "hsa04141", "hsa04662", "hsa04657",
    "hsa05214", "hsa04721", "hsa04520", "hsa05416", "hsa04670", "hsa04120",
    "hsa05160", "hsa05162"), Term_Description = c("Spliceosome",
    "Oxidative phosphorylation", "Parkinson disease", "Non-alcoholic fatty liver disease (NAFLD)",
    "Base excision repair", "Alzheimer disease", "NF-kappa B signaling pathway",
    "Huntington disease", "Thermogenesis", "Th17 cell differentiation",
    "Ribosome", "Mismatch repair", "RNA transport", "Fluid shear stress and atherosclerosis",
    "Oxytocin signaling pathway", "Neurotrophin signaling pathway",
    "Kaposi sarcoma-associated herpesvirus infection", "JAK-STAT signaling pathway",
    "Insulin resistance", "SNARE interactions in vesicular transport",
    "Central carbon metabolism in cancer", "Cardiac muscle contraction",
    "Human cytomegalovirus infection", "Transcriptional misregulation in cancer",
    "Hepatocellular carcinoma", "Apoptosis", "Viral carcinogenesis",
    "Shigellosis", "Salmonella infection", "mRNA surveillance pathway",
    "Adipocytokine signaling pathway", "PD-L1 expression and PD-1 checkpoint pathway in cancer",
    "HIF-1 signaling pathway", "Pathogenic Escherichia coli infection",
    "Human T-cell leukemia virus 1 infection", "Cell cycle", "Influenza A",
    "Autophagy - animal", "Yersinia infection", "Proteasome", "mTOR signaling pathway",
    "Human immunodeficiency virus 1 infection", "T cell receptor signaling pathway",
    "Alcoholism", "Prostate cancer", "Nucleotide excision repair",
    "Glucagon signaling pathway", "Citrate cycle (TCA cycle)", "Bacterial invasion of epithelial cells",
    "NOD-like receptor signaling pathway", "C-type lectin receptor signaling pathway",
    "Phagosome", "DNA replication", "Pyruvate metabolism", "Dopaminergic synapse",
    "Calcium signaling pathway", "Apelin signaling pathway", "Insulin signaling pathway",
    "Vascular smooth muscle contraction", "Arrhythmogenic right ventricular cardiomyopathy (ARVC)",
    "Pancreatic cancer", "Focal adhesion", "Rap1 signaling pathway",
    "Vibrio cholerae infection", "Pertussis", "Proteoglycans in cancer",
    "Hypertrophic cardiomyopathy (HCM)", "Regulation of actin cytoskeleton",
    "Epstein-Barr virus infection", "Th1 and Th2 cell differentiation",
    "Gastric acid secretion", "Amphetamine addiction", "Dilated cardiomyopathy (DCM)",
    "Chronic myeloid leukemia", "Ras signaling pathway", "Fanconi anemia pathway",
    "Acute myeloid leukemia", "ErbB signaling pathway", "Chagas disease (American trypanosomiasis)",
    "Tight junction", "Toll-like receptor signaling pathway", "Arginine and proline metabolism",
    "Tuberculosis", "Thyroid hormone signaling pathway", "Protein processing in endoplasmic reticulum",
    "B cell receptor signaling pathway", "IL-17 signaling pathway",
    "Glioma", "Synaptic vesicle cycle", "Adherens junction", "Viral myocarditis",
    "Leukocyte transendothelial migration", "Ubiquitin mediated proteolysis",
    "Hepatitis C", "Measles"), Fold_Enrichment = c(3.09750311607897,
    2.52396952344896, 2.31876874918482, 1.98061497326203, 4.80149084427159,
    2.26355996944232, 2.5351871657754, 2.3676316921753, 2.14327417396471,
    2.71627196333079, 1.45940050661413, 4.13345733550337, 2.40682325864753,
    2.29636518639076, 2.20068330362448, 2.41702166228587, 1.74119997649409,
    1.23466907424127, 1.21883998354587, 4.66027052532243, 1.86410821012897,
    2.08485786659161, 1.72071527088828, 1.90902648025256, 1.33631853617679,
    1.64317686670628, 1.54584583278988, 3.46607620320856, 2.1126559714795,
    2.18550617739259, 1.46260798025504, 2.49245929219492, 1.50903997962822,
    1.79684657368102, 2.03512731197567, 1.27781611178196, 1.7181238322273,
    1.40843731431967, 2.13040938300454, 1.47394602661361, 1.50903997962822,
    1.39808115759673, 1.56880393921745, 1.49480375340531, 1.32040998217469,
    3.44454777958614, 1.58449197860963, 3.16898395721925, 1.95014397367339,
    1.13855711037817, 1.88256472706094, 2.32392156862745, 2.64081996434938,
    3.25023995612231, 1.45144303384088, 1.19262837099649, 1.65543938063692,
    1.41894804054593, 1.80348680492153, 1.76054664289958, 1.6901247771836,
    0.656784239838187, 1.70043041606887, 4.52711993888465, 2.91880101322826,
    0.950695187165775, 1.49128656810318, 0.918546074556305, 1.12034786366337,
    2.88089450656296, 1.76054664289958, 1.86410821012897, 1.74119997649409,
    1.66788629327329, 1.41472498090145, 1.94019425952199, 0.945965360363956,
    1.14541588815154, 1.25504315137396, 1.79376450408637, 1.55342350844081,
    4.04551143474798, 1.80055906660185, 1.91231790521851, 1.21107667154876,
    1.62511997806115, 1.44044725328148, 1.2675935828877, 2.1126559714795,
    1.44044725328148, 2.14846369980966, 1.50903997962822, 1.44044725328148,
    1.06341743530847, 1.38787618564347), occurrence = c(10, 10, 10,
    10, 4, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
    2, 10, 10, 10, 10, 5, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
    9, 10, 3, 10, 10, 3, 10, 10, 10, 10, 10, 10, 4, 10, 10, 10, 10,
    4, 4, 10, 1, 10, 10, 10, 10, 10, 10, 10, 10, 10, 4, 10, 10, 10,
    10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 6, 10, 4, 10, 10, 1,
    10, 10, 10, 4, 10, 10, 4, 4, 10, 1), lowest_p = c(1.13176982377617e-09,
    2.93949724616913e-08, 4.92717296729257e-08, 1.28289156237523e-07,
    1.62415289270518e-07, 1.92608750448286e-07, 3.0479796456821e-07,
    4.02595397922357e-07, 1.14447189315402e-06, 3.85889147603014e-06,
    5.31871678159313e-06, 5.71075754904134e-06, 6.45140791254426e-06,
    7.24753316730549e-06, 9.35056151457253e-06, 1.82363017611285e-05,
    2.12581586552987e-05, 2.64595699068908e-05, 4.6597469821752e-05,
    4.98198842682016e-05, 5.86295484109718e-05, 6.59505467033765e-05,
    6.71006092262041e-05, 8.27242543053842e-05, 8.27242543053842e-05,
    0.000102133011360742, 0.000109511832045221, 0.000175058514276467,
    0.000205413654442725, 0.000215845947445732, 0.000232375497865294,
    0.000236530569745578, 0.000338442402119131, 0.000344416946902365,
    0.00044762418175375, 0.000658522224736057, 0.000757737534476384,
    0.000924281689018714, 0.00100528665146015, 0.00114158728368298,
    0.00129713659363109, 0.00131073220440479, 0.00136542987628312,
    0.0016553337724271, 0.00166948746454826, 0.00178167130805164,
    0.00196426861327604, 0.0020126582603898, 0.00214042165482919,
    0.00291285853648065, 0.00294281377768277, 0.00327663038411591,
    0.00404525748180097, 0.00449788928365623, 0.00572341331925352,
    0.00589378445647386, 0.00625726824107716, 0.00625726824107716,
    0.00641503331582338, 0.00691587827136818, 0.00781931768845344,
    0.00883579886127475, 0.009346830256011, 0.00997004944586512,
    0.010139823838978, 0.0101584613812224, 0.0113844225419134, 0.0116211177369716,
    0.0124479514107009, 0.0126307614009921, 0.012807459985889, 0.0129097982237041,
    0.0139636029694454, 0.0150610008654792, 0.0158118660309634, 0.0169202250874646,
    0.0171581255299372, 0.0196032085763412, 0.023734304276094, 0.0243316079126903,
    0.024441130887625, 0.0250695949192783, 0.0260230627682392, 0.0265707745450152,
    0.0270073104121899, 0.0270339505868963, 0.0279120717681144, 0.0322880337901534,
    0.0322880337901534, 0.0326545981663725, 0.0330235903735304, 0.0394786019607892,
    0.0422506670938151, 0.0437250057329596, 0.0471659234075508),
     highest_p = c(3.72591910672007e-09, 2.93949724616913e-08,
     4.92717296729257e-08, 1.28289156237523e-07, 1.62415289270518e-07,
     1.92608750448286e-07, 3.0479796456821e-07, 4.02595397922357e-07,
     1.14447189315402e-06, 5.76121834919795e-06, 5.31871678159313e-06,
     0.04445252310252, 8.77036377485396e-05, 7.24753316730549e-06,
     9.35056151457253e-06, 1.82363017611285e-05, 2.12581586552987e-05,
     3.94124597336792e-05, 4.6597469821752e-05, 4.98198842682016e-05,
     5.86295484109718e-05, 6.59505467033765e-05, 6.71006092262041e-05,
     0.00623864913557161, 8.27242543053842e-05, 0.000102133011360742,
     0.000109511832045221, 0.000175058514276467, 0.0144750415597275,
     0.0186456333567655, 0.000232375497865294, 0.000236530569745578,
     0.000338442402119131, 0.000344416946902365, 0.00044762418175375,
     0.000658522224736057, 0.000757737534476384, 0.000924281689018714,
     0.00100528665146015, 0.00114158728368298, 0.00129713659363109,
     0.00131073220440479, 0.00136542987628312, 0.0016553337724271,
     0.00166948746454826, 0.00178167130805164, 0.00196426861327604,
     0.0020126582603898, 0.0133520797306269, 0.00291285853648065,
     0.00294281377768277, 0.00327663038411591, 0.00404525748180097,
     0.00449788928365623, 0.00572341331925352, 0.00589378445647386,
     0.00625726824107716, 0.00625726824107716, 0.00641503331582338,
     0.00691587827136818, 0.00974450545949028, 0.0141469829627025,
     0.009346830256011, 0.0105816450407373, 0.010139823838978,
     0.0101584613812224, 0.0113844225419134, 0.0148055259648584,
     0.0124479514107009, 0.0157319487193053, 0.012807459985889,
     0.0129097982237041, 0.0139636029694454, 0.0150610008654792,
     0.0462523689572709, 0.0169202250874646, 0.0171581255299372,
     0.0277467995144712, 0.023734304276094, 0.0243316079126903,
     0.024441130887625, 0.0250695949192783, 0.0260230627682392,
     0.0287963127813091, 0.0270073104121899, 0.0270339505868963,
     0.0279120717681144, 0.0322880337901534, 0.0322880337901534,
     0.0326545981663725, 0.0367472194111895, 0.0394786019607892,
     0.0422506670938151, 0.0437250057329596, 0.0471659234075508
     ), Up_regulated = c("SF3B6, LSM3, BUD31", "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C, ATP6V1D, ATP6V0E1",
     "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C", "DDIT3, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "POLE4", "GAPDH, RTN3, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "LY96", "AP2B1, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C", "", "MRPS18C, RPS24, MRPL33, RPL26, RPL31, RPL39",
     "", "NUP214", "GSTO1, TXN, MMP9", "MYL6B, MYL6", "", "",
     "", "", "STX6, STX10", "HK3", "UQCRQ, COX6A1, COX7A2, COX7C",
     "", "MMP9, DDIT3", "GSTO1", "DDIT3", "GTF2B", "", "TLR5",
     "PPP2R3C", "", "", "HK3, GAPDH", "TLR5, GAPDH", "", "", "",
     "IGBP1, RRAGD", "", "", "ATP6V1D, RRAGD", "", "", "", "MMP9",
     "GTF2H5, POLE4", "", "", "", "CAMP, TXN", "CLEC4D", "ATP6V1D, ATP6V0E1, TLR6, NCF4",
     "POLE4", "", "PPP2R3C", "", "", "HK3", "MYL6B, MYL6", "",
     "", "", "", "ATP6V1D, ATP6V0E1", "LY96", "MMP9", "", "",
     "", "", "", "", "", "", "", "", "", "", "TLR6", "MYL6B, MYL6",
     "TLR6, LY96, TLR5", "ARG1", "TLR6, CAMP", "", "CKAP4, DDIT3",
     "", "S100A8, S100A9, MMP9", "", "AP2B1, ATP6V1D, ATP6V0E1",
     "", "", "NCF4, MMP9", "TRIP12", "", ""), Down_regulated = c("SNRPB, SF3B2, U2AF2, PUF60, DDX23, EIF4A3, HNRNPA1, PCBP1, SRSF8, SRSF5",
     "ATP6V0E2", "UBE2G1, VDAC1, SLC25A5", "IKBKB, FASLG", "MUTYH, APEX2, POLD2, PARP1",
     "CALM3, CALM1, ATP2A2", "PRKCQ, CARD11, TICAM1, IKBKB, UBE2I, CSNK2A2, PARP1",
     "SIN3A, HDAC1, TAF4, CREB1, VDAC1, SLC25A5", "ADCY7, CREB1, KDM1A, SMARCA4, ACTB, ACTG1, ARID1A, MTOR",
     "MTOR, JAK1, HLA-DPA1, NFATC3, PRKCQ, IKBKB, GATA3, IL27RA, IL2RB",
     "RPLP2", "MLH1, RPA1, POLD2", "NUP62, NUP93, RANGAP1, UBE2I, SUMO3, GEMIN4, EIF2S3, EIF2B1, EIF4A3, RNPS1, SRRM1",
     "CALM3, CALM1, KLF2, ACTB, ACTG1, IKBKB, SUMO3", "EEF2K, EEF2, CALM3, CALM1, NFATC3, ACTB, ACTG1, ADCY7",
     "SH2B3, CRKL, FASLG, CALM3, CALM1, ABL1, MAGED1, IRAK2, IKBKB",
     "TICAM1, JAK1, ZFP36, IKBKB, GNB1, MTOR, CALM3, CALM1, NFATC3, CREB1",
     "IL2RB, IL10RA, IL27RA, JAK1, PIAS3, MTOR", "MTOR, IKBKB, PRKCQ, CREB1",
     "STX2, BET1L, SNAP23", "PDHA1, PDHB, MTOR", "ATP2A2", "MTOR, IKBKB, GNB1, CALM3, CALM1, NFATC3, ADCY7, JAK1, CREB1, CRKL, IL10RA, FASLG",
     "HDAC1, SIN3A, BCL11B, SLC45A3, EWSR1, IL2RB, TAF15, ASPSCR1",
     "MTOR, ACTB, ACTG1, ARID1A, SMARCA4, BRD7", "FASLG, ACTB, ACTG1, PARP1, DFFB, IKBKB",
     "CREB1, JAK1, SCRIB, RBL2, HDAC1, DNAJA3, SRF", "ITGB1, ABL1, CRKL, ACTB, ACTG1, PFN1, IKBKB",
     "ACTB, ACTG1, DYNC1H1, PFN1", "EIF4A3, RNPS1, SRRM1, WDR33, DAZAP1",
     "MTOR, IKBKB, PRKCQ", "MTOR, IKBKB, JAK1, NFATC3, TICAM1, CSNK2A2, PRKCQ",
     "MTOR, PDHA1, PDHB", "ARF1, ACTB, ACTG1, SLC9A3R1, TUBB, ABL1, ITGB1, IKBKB, FASLG",
     "TRRAP, NFATC3, IL2RB, JAK1, VDAC1, SLC25A5, ANAPC1, IKBKB, ZFP36, ADCY7, HLA-DPA1, SRF, ETS1, CREB1",
     "RBL2, ABL1, HDAC1, CDKN1C, ANAPC1", "IKBKB, TICAM1, JAK1, HLA-DPA1, FASLG, VDAC1, SLC25A5, ACTB, ACTG1",
     "MTOR, PIK3R4, UVRAG, PRKCQ", "ITGB1, CRKL, ACTB, ACTG1, IKBKB, TICAM1, LCP2, NFATC3",
     "PSMD7, PSMB10", "WDR59, MTOR, TELO2, IKBKB, LPIN1", "CRKL, MTOR, CALM3, CALM1, NFATC3, GNB1, CFL1, IKBKB, FASLG",
     "LCP2, NFATC3, PRKCQ, CARD11, IKBKB", "HDAC1, GNB1, CREB1, CALM3, CALM1",
     "CREB1, IKBKB, MTOR", "XPC, RPA1, POLD2", "CREB1, CALM3, CALM1, PDHA1, PDHB",
     "MDH2, PDHA1, PDHB", "CRKL, ACTB, ACTG1, ITGB1", "IKBKB, VDAC1, JAK1, TICAM1",
     "CALM3, CALM1, NFATC3, IKBKB, IRF1", "ACTB, ACTG1, HLA-DPA1, ATP6V0E2, DYNC1H1, TUBB, ITGB1",
     "RPA1, POLD2", "PDHA1, PDHB, ALDH9A1, MDH2", "CALM3, CALM1, CREB1, GNB1, COMT",
     "ADCY7, ATP2A2, STIM2, VDAC1, SLC25A5, CALM3, CALM1", "ADCY7, GNB1, CALM3, CALM1, MTOR, PIK3R4, KLF2",
     "CALM3, CALM1, CRKL, MTOR, IKBKB", "CALM3, CALM1, PRKCH, PRKCQ, ADCY7",
     "ITGB1, ACTB, ACTG1, ATP2A2", "IKBKB, RALGDS, MTOR, JAK1",
     "ITGB1, ACTB, ACTG1, CRKL", "CALM3, CALM1, ADCY7, CRKL, LCP2, RALGDS, PFN1, EVL, ACTB, ACTG1, ITGB1",
     "ATP6V0E2, PDIA4, ARF1, ACTB, ACTG1", "ITGB1, CALM3, CALM1, CFL1, TICAM1, IRF1",
     "ACTB, ACTG1, MTOR, FASLG, ITGB1", "ITGB1, ACTB, ACTG1, ATP2A2",
     "ITGB1, CRKL, ACTB, ACTG1, PFN1, CFL1", "HLA-DPA1, IKBKB, JAK1, PSMD7, SIN3A, HDAC1, RUNX3",
     "JAK1, RUNX3, HLA-DPA1, NFATC3, PRKCQ, IKBKB, IL2RB, GATA3",
     "CALM3, CALM1, ADCY7, ACTB", "CALM3, CALM1, CREB1, HDAC1",
     "ITGB1, ACTB, ACTG1, ADCY7, ATP2A2", "ABL1, CRKL, IKBKB, HDAC1",
     "GNB1, CALM3, CALM1, RASA3, RASAL3, IKBKB, FASLG, ETS1, RALGDS, ABL1",
     "TELO2, MLH1, RPA1", "IKBKB, MTOR", "CRKL, ABL1, MTOR", "TICAM1, IKBKB, FASLG",
     "ARHGAP17, SCRIB, TJAP1, SLC9A3R1, ACTB, ACTG1, ITGB1", "IKBKB, TICAM1",
     "CKB, ALDH9A1, CNDP2, PYCR2, GOT1", "JAK1, CREB1, HLA-DPA1, CD74, IL10RA, IRAK2, CALM3, CALM1",
     "SIN3A, HDAC1, MED24, ATP2A2, MTOR, ACTB, ACTG1", "DDOST, EDEM1, PDIA4, UBE2G1",
     "NFATC3, CARD11, IKBKB, CD81", "IKBKB", "CALM3, CALM1, MTOR",
     "STX2, ATP6V0E2", "ACTB, ACTG1, CSNK2A2", "ABL1, ACTB, ACTG1, HLA-DPA1",
     "ITGB1, ACTB, ACTG1", "UBE2G1, UBE2I, HERC1, PIAS3, ANAPC1",
     "CD81, TICAM1, IKBKB, JAK1, FASLG", "IKBKB, CSNK2A2, JAK1, RAB9A, FASLG, IL2RB"
     )), use_description = FALSE)
     --- call from argument ---
    if (class(clu_obj) == "matrix") {
     if (!all(rownames(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 < kappa_threshold, 0, kappa_mat2)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     values <- apply(clu_obj, 1, function(x) which(x))
     percs <- list()
     for (i in base::seq_len(length(values))) {
     percs[[i]] <- rep(1/length(values[[i]]), length(values[[i]]))
     }
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     if (length(all_cols) < max(as.integer(colnames(clu_obj)))) {
     num_extra <- max(as.integer(colnames(clu_obj))) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$shape <- ifelse(vapply(percs, length, 1) > 1,
     "pie", "circle")
     cols <- lapply(values, function(x) all_cols[x])
     igraph::V(g)$color <- vapply(cols, function(x) x[1], "")
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, vertex.pie = percs, vertex.pie.color = cols,
     layout = igraph::layout_nicely(g), edge.curved = FALSE,
     vertex.label.dist = 0, vertex.label.color = "black",
     asp = 1, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
    } else if (class(clu_obj) == "integer") {
     if (!all(names(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 > kappa_threshold, kappa_mat2,
     0)
     missing <- names(clu_obj)[!names(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- names(clu_obj)[!names(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     igraph::V(g)$Clu <- clu_obj[match(igraph::V(g)$name, names(clu_obj))]
     if (length(all_cols) < max(as.integer(igraph::V(g)$Clu))) {
     num_extra <- max(clu_obj) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$color <- all_cols[as.integer(igraph::V(g)$Clu)]
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, layout = igraph::layout_nicely(g),
     edge.curved = FALSE, vertex.label.dist = 0, vertex.label.color = "black",
     asp = 0, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
    } else {
     stop("Invalid class for `clu_obj`!")
    }
     --- R stacktrace ---
    where 1: cluster_graph_vis(clu_obj = c(FALSE, TRUE, TRUE, TRUE, FALSE,
    TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
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    -0.0254614894971367, -0.0195280716029301, 0.488571428571429,
    -0.0275545350172228, -0.0275545350172228, 0.379668848671544,
    -0.0195280716029301, -0.0228571428571413, -0.0275545350172228,
    -0.0292733925771034, -0.0292733925771034, -0.0275545350172228,
    -0.0292733925771034, 0.488571428571429, -0.0228571428571413,
    0.488571428571429, 0.241817481709665, 0.345007841087297, -0.0292733925771034,
    0.383467278989668, 0.488571428571429, 0.383467278989668, 0.157867224255097,
    0.141074856046064, 0.232857142857144, -0.0228571428571413, 0.43029917250159,
    0.232857142857144, 0.114591920857378, -0.0195280716029301, -0.015122873345933,
    0.271765663140764, -0.0228571428571413, 0.285587583148559, -0.0254614894971367,
    -0.0275545350172228, 0.114591920857378, 0.345007841087297, -0.0275545350172228,
    -0.0228571428571413, -0.0228571428571413, -0.0195280716029301,
    -0.0254614894971367, 0.563059397884458, 1, 0.43029917250159,
    -0.0275545350172228, -0.0254614894971367, -0.0275545350172228,
    -0.0420439844760674, -0.03725165562914, -0.03725165562914, -0.03725165562914,
    -0.0287356321839083, -0.0399419026870005, -0.0356030262572318,
    -0.0420439844760674, 0.176632934682613, -0.03725165562914, -0.0336862367661219,
    -0.0213980028530667, -0.0410537119397872, 0.37678916827853, 0.238297872340426,
    -0.03725165562914, -0.0386847195357823, -0.0314300680984804,
    -0.0254614894971367, -0.0287356321839083, -0.0254614894971367,
    -0.0287356321839083, -0.0410537119397872, 0.0998065764023219,
    0.31087584215592, 0.31087584215592, -0.0356030262572318, 0.48315688161694,
    0.382758620689656, -0.0314300680984804, -0.0213980028530667,
    -0.0336862367661219, -0.0287356321839083, 0.350036310820624,
    -0.0429316160686914, -0.0287356321839083, 0.2591059602649, -0.0314300680984804,
    0.442367601246106, -0.0162206001622067, -0.0336862367661219,
    -0.03725165562914, -0.0287356321839083, -0.0287356321839083,
    0.202418841502227, -0.0287356321839083, -0.0287356321839083,
    -0.0213980028530667, 0.658179503500954, -0.0314300680984804,
    -0.0314300680984804, 0.4800290486565, -0.0213980028530667, -0.0254614894971367,
    -0.0314300680984804, -0.0336862367661219, -0.0336862367661219,
    -0.0314300680984804, -0.0336862367661219, 0.658179503500954,
    -0.0254614894971367, 0.658179503500954, 0.350036310820624, 0.31087584215592,
    0.138594802694898, 0.718700890518596, 0.658179503500954, 0.531168150864327,
    -0.0336862367661219, -0.0356030262572318, 0.202418841502227,
    -0.0254614894971367, 0.588505747126438, -0.0254614894971367,
    -0.0386847195357823, -0.0213980028530667, -0.0162206001622067,
    -0.0213980028530667, -0.0254614894971367, 0.407284768211921,
    -0.0287356321839083, -0.0314300680984804, -0.0386847195357823,
    0.31087584215592, -0.0314300680984804, -0.0254614894971367, 0.202418841502227,
    -0.0213980028530667, -0.0287356321839083, 0.489300998573467,
    0.43029917250159, 1, -0.0314300680984804, -0.0287356321839083,
    -0.0314300680984804, -0.0480739599383677, -0.0419091967403949,
    0.0970120294916577, -0.0419091967403949, -0.0314300680984804,
    -0.0453452421848158, 0.108713692946058, -0.0480739599383677,
    -0.0492379835873389, -0.0419091967403949, -0.0374498439589836,
    -0.0228571428571439, 0.0695256660168942, -0.0437317784256566,
    -0.0437317784256566, -0.0419091967403949, -0.0437317784256566,
    0.13776493256262, -0.0275545350172228, -0.0314300680984804, -0.0275545350172228,
    -0.0314300680984804, -0.0467836257309939, -0.0437317784256566,
    -0.0374498439589836, -0.0374498439589836, -0.0398340248962658,
    -0.0374498439589836, -0.0314300680984804, -0.0346820809248553,
    -0.0228571428571439, -0.0374498439589836, -0.0314300680984804,
    -0.0453452421848158, 0.0556858147713949, 0.156102671555789, -0.0419091967403949,
    -0.0346820809248553, -0.0398340248962658, -0.0170454545454528,
    -0.0374498439589836, -0.0419091967403949, -0.0314300680984804,
    -0.0314300680984804, -0.0275545350172228, -0.0314300680984804,
    -0.0314300680984804, -0.0228571428571439, -0.0275545350172228,
    -0.0346820809248553, -0.0346820809248553, -0.0453452421848158,
    -0.0228571428571439, -0.0275545350172228, -0.0346820809248553,
    -0.0374498439589836, -0.0374498439589836, -0.0346820809248553,
    -0.0374498439589836, -0.0275545350172228, -0.0275545350172228,
    -0.0275545350172228, -0.0453452421848158, -0.0374498439589836,
    -0.0374498439589836, -0.0346820809248553, -0.0275545350172228,
    -0.0346820809248553, -0.0374498439589836, -0.0398340248962658,
    -0.0275545350172228, -0.0275545350172228, -0.0314300680984804,
    -0.0275545350172228, -0.0437317784256566, -0.0228571428571439,
    -0.0170454545454528, -0.0228571428571439, -0.0275545350172228,
    -0.0419091967403949, -0.0314300680984804, -0.0346820809248553,
    -0.0437317784256566, -0.0374498439589836, 0.13776493256262, -0.0275545350172228,
    -0.0275545350172228, -0.0228571428571439, -0.0314300680984804,
    -0.0228571428571439, -0.0275545350172228, -0.0314300680984804,
    1, -0.0314300680984804, -0.0346820809248553, -0.0420439844760674,
    -0.03725165562914, -0.03725165562914, 0.2591059602649, -0.0287356321839083,
    -0.0399419026870005, 0.283044058744993, -0.0420439844760674,
    -0.0429316160686914, 0.2591059602649, -0.0336862367661219, -0.0213980028530667,
    -0.0410537119397872, 0.0998065764023219, -0.0386847195357823,
    0.2591059602649, 0.37678916827853, 0.156102671555789, 0.202418841502227,
    -0.0287356321839083, -0.0254614894971367, -0.0287356321839083,
    0.326377009921314, -0.0386847195357823, -0.0336862367661219,
    0.31087584215592, 0.123720516243881, 0.138594802694898, -0.0287356321839083,
    -0.0314300680984804, 0.2339514978602, 0.48315688161694, -0.0287356321839083,
    0.220043572984749, 0.176632934682613, -0.0287356321839083, 0.555463576158941,
    -0.0314300680984804, 0.283044058744993, -0.0162206001622067,
    0.138594802694898, 0.2591059602649, 0.177011494252875, -0.0287356321839083,
    0.202418841502227, -0.0287356321839083, -0.0287356321839083,
    -0.0213980028530667, -0.0254614894971367, 0.531168150864327,
    0.156102671555789, -0.0399419026870005, -0.0213980028530667,
    -0.0254614894971367, -0.0314300680984804, -0.0336862367661219,
    -0.0336862367661219, 0.156102671555789, -0.0336862367661219,
    -0.0254614894971367, 0.43029917250159, -0.0254614894971367, -0.0399419026870005,
    -0.0336862367661219, 0.138594802694898, 0.156102671555789, -0.0254614894971367,
    -0.0314300680984804, 0.31087584215592, 0.283044058744993, -0.0254614894971367,
    -0.0254614894971367, -0.0287356321839083, 0.202418841502227,
    0.238297872340426, -0.0213980028530667, 0.274128142741281, -0.0213980028530667,
    0.658179503500954, -0.03725165562914, 0.382758620689656, -0.0314300680984804,
    0.0998065764023219, -0.0336862367661219, -0.0314300680984804,
    0.43029917250159, 0.202418841502227, -0.0213980028530667, -0.0287356321839083,
    -0.0213980028530667, -0.0254614894971367, -0.0287356321839083,
    -0.0314300680984804, 1, 0.531168150864327, -0.0480739599383677,
    -0.0419091967403949, -0.0419091967403949, 0.23593325572371, -0.0314300680984804,
    -0.0453452421848158, 0.257261410788381, -0.0480739599383677,
    -0.0492379835873389, 0.374854481955763, -0.0374498439589836,
    -0.0228571428571439, -0.0467836257309939, 0.0867346938775503,
    -0.0437317784256566, 0.23593325572371, 0.217201166180757, 0.310211946050098,
    0.177956371986223, -0.0314300680984804, -0.0275545350172228,
    -0.0314300680984804, 0.30214424951267, 0.0867346938775503, -0.0374498439589836,
    0.28176549264378, 0.108713692946058, 0.122157824342398, -0.0314300680984804,
    -0.0346820809248553, 0.204444444444443, 0.441373160945162, -0.0314300680984804,
    0.200618344211611, 0.265533411488862, -0.0314300680984804, 0.374854481955763,
    -0.0346820809248553, 0.108713692946058, -0.0170454545454528,
    0.122157824342398, 0.23593325572371, 0.156102671555789, -0.0314300680984804,
    0.177956371986223, -0.0314300680984804, -0.0314300680984804,
    -0.0228571428571439, -0.0275545350172228, 0.310211946050098,
    0.13776493256262, -0.0453452421848158, -0.0228571428571439, -0.0275545350172228,
    -0.0346820809248553, -0.0374498439589836, -0.0374498439589836,
    0.13776493256262, -0.0374498439589836, -0.0275545350172228, 0.383467278989668,
    -0.0275545350172228, -0.0453452421848158, -0.0374498439589836,
    -0.0374498439589836, 0.13776493256262, -0.0275545350172228, -0.0346820809248553,
    0.28176549264378, 0.405809128630706, -0.0275545350172228, -0.0275545350172228,
    -0.0314300680984804, 0.177956371986223, 0.217201166180757, -0.0228571428571439,
    0.23721590909091, -0.0228571428571439, 0.383467278989668, -0.0419091967403949,
    0.156102671555789, -0.0346820809248553, 0.0867346938775503, -0.0374498439589836,
    -0.0346820809248553, 0.177956371986223, 0.177956371986223, -0.0228571428571439,
    -0.0314300680984804, 0.204444444444443, -0.0275545350172228,
    -0.0314300680984804, -0.0346820809248553, 0.531168150864327,
    1), enrichment_res = list(ID = c("hsa03040", "hsa00190", "hsa05012",
    "hsa04932", "hsa03410", "hsa05010", "hsa04064", "hsa05016", "hsa04714",
    "hsa04659", "hsa03010", "hsa03430", "hsa03013", "hsa05418", "hsa04921",
    "hsa04722", "hsa05167", "hsa04630", "hsa04931", "hsa04130", "hsa05230",
    "hsa04260", "hsa05163", "hsa05202", "hsa05225", "hsa04210", "hsa05203",
    "hsa05131", "hsa05132", "hsa03015", "hsa04920", "hsa05235", "hsa04066",
    "hsa05130", "hsa05166", "hsa04110", "hsa05164", "hsa04140", "hsa05135",
    "hsa03050", "hsa04150", "hsa05170", "hsa04660", "hsa05034", "hsa05215",
    "hsa03420", "hsa04922", "hsa00020", "hsa05100", "hsa04621", "hsa04625",
    "hsa04145", "hsa03030", "hsa00620", "hsa04728", "hsa04020", "hsa04371",
    "hsa04910", "hsa04270", "hsa05412", "hsa05212", "hsa04510", "hsa04015",
    "hsa05110", "hsa05133", "hsa05205", "hsa05410", "hsa04810", "hsa05169",
    "hsa04658", "hsa04971", "hsa05031", "hsa05414", "hsa05220", "hsa04014",
    "hsa03460", "hsa05221", "hsa04012", "hsa05142", "hsa04530", "hsa04620",
    "hsa00330", "hsa05152", "hsa04919", "hsa04141", "hsa04662", "hsa04657",
    "hsa05214", "hsa04721", "hsa04520", "hsa05416", "hsa04670", "hsa04120",
    "hsa05160", "hsa05162"), Term_Description = c("Spliceosome",
    "Oxidative phosphorylation", "Parkinson disease", "Non-alcoholic fatty liver disease (NAFLD)",
    "Base excision repair", "Alzheimer disease", "NF-kappa B signaling pathway",
    "Huntington disease", "Thermogenesis", "Th17 cell differentiation",
    "Ribosome", "Mismatch repair", "RNA transport", "Fluid shear stress and atherosclerosis",
    "Oxytocin signaling pathway", "Neurotrophin signaling pathway",
    "Kaposi sarcoma-associated herpesvirus infection", "JAK-STAT signaling pathway",
    "Insulin resistance", "SNARE interactions in vesicular transport",
    "Central carbon metabolism in cancer", "Cardiac muscle contraction",
    "Human cytomegalovirus infection", "Transcriptional misregulation in cancer",
    "Hepatocellular carcinoma", "Apoptosis", "Viral carcinogenesis",
    "Shigellosis", "Salmonella infection", "mRNA surveillance pathway",
    "Adipocytokine signaling pathway", "PD-L1 expression and PD-1 checkpoint pathway in cancer",
    "HIF-1 signaling pathway", "Pathogenic Escherichia coli infection",
    "Human T-cell leukemia virus 1 infection", "Cell cycle", "Influenza A",
    "Autophagy - animal", "Yersinia infection", "Proteasome", "mTOR signaling pathway",
    "Human immunodeficiency virus 1 infection", "T cell receptor signaling pathway",
    "Alcoholism", "Prostate cancer", "Nucleotide excision repair",
    "Glucagon signaling pathway", "Citrate cycle (TCA cycle)", "Bacterial invasion of epithelial cells",
    "NOD-like receptor signaling pathway", "C-type lectin receptor signaling pathway",
    "Phagosome", "DNA replication", "Pyruvate metabolism", "Dopaminergic synapse",
    "Calcium signaling pathway", "Apelin signaling pathway", "Insulin signaling pathway",
    "Vascular smooth muscle contraction", "Arrhythmogenic right ventricular cardiomyopathy (ARVC)",
    "Pancreatic cancer", "Focal adhesion", "Rap1 signaling pathway",
    "Vibrio cholerae infection", "Pertussis", "Proteoglycans in cancer",
    "Hypertrophic cardiomyopathy (HCM)", "Regulation of actin cytoskeleton",
    "Epstein-Barr virus infection", "Th1 and Th2 cell differentiation",
    "Gastric acid secretion", "Amphetamine addiction", "Dilated cardiomyopathy (DCM)",
    "Chronic myeloid leukemia", "Ras signaling pathway", "Fanconi anemia pathway",
    "Acute myeloid leukemia", "ErbB signaling pathway", "Chagas disease (American trypanosomiasis)",
    "Tight junction", "Toll-like receptor signaling pathway", "Arginine and proline metabolism",
    "Tuberculosis", "Thyroid hormone signaling pathway", "Protein processing in endoplasmic reticulum",
    "B cell receptor signaling pathway", "IL-17 signaling pathway",
    "Glioma", "Synaptic vesicle cycle", "Adherens junction", "Viral myocarditis",
    "Leukocyte transendothelial migration", "Ubiquitin mediated proteolysis",
    "Hepatitis C", "Measles"), Fold_Enrichment = c(3.09750311607897,
    2.52396952344896, 2.31876874918482, 1.98061497326203, 4.80149084427159,
    2.26355996944232, 2.5351871657754, 2.3676316921753, 2.14327417396471,
    2.71627196333079, 1.45940050661413, 4.13345733550337, 2.40682325864753,
    2.29636518639076, 2.20068330362448, 2.41702166228587, 1.74119997649409,
    1.23466907424127, 1.21883998354587, 4.66027052532243, 1.86410821012897,
    2.08485786659161, 1.72071527088828, 1.90902648025256, 1.33631853617679,
    1.64317686670628, 1.54584583278988, 3.46607620320856, 2.1126559714795,
    2.18550617739259, 1.46260798025504, 2.49245929219492, 1.50903997962822,
    1.79684657368102, 2.03512731197567, 1.27781611178196, 1.7181238322273,
    1.40843731431967, 2.13040938300454, 1.47394602661361, 1.50903997962822,
    1.39808115759673, 1.56880393921745, 1.49480375340531, 1.32040998217469,
    3.44454777958614, 1.58449197860963, 3.16898395721925, 1.95014397367339,
    1.13855711037817, 1.88256472706094, 2.32392156862745, 2.64081996434938,
    3.25023995612231, 1.45144303384088, 1.19262837099649, 1.65543938063692,
    1.41894804054593, 1.80348680492153, 1.76054664289958, 1.6901247771836,
    0.656784239838187, 1.70043041606887, 4.52711993888465, 2.91880101322826,
    0.950695187165775, 1.49128656810318, 0.918546074556305, 1.12034786366337,
    2.88089450656296, 1.76054664289958, 1.86410821012897, 1.74119997649409,
    1.66788629327329, 1.41472498090145, 1.94019425952199, 0.945965360363956,
    1.14541588815154, 1.25504315137396, 1.79376450408637, 1.55342350844081,
    4.04551143474798, 1.80055906660185, 1.91231790521851, 1.21107667154876,
    1.62511997806115, 1.44044725328148, 1.2675935828877, 2.1126559714795,
    1.44044725328148, 2.14846369980966, 1.50903997962822, 1.44044725328148,
    1.06341743530847, 1.38787618564347), occurrence = c(10, 10, 10,
    10, 4, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
    2, 10, 10, 10, 10, 5, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
    9, 10, 3, 10, 10, 3, 10, 10, 10, 10, 10, 10, 4, 10, 10, 10, 10,
    4, 4, 10, 1, 10, 10, 10, 10, 10, 10, 10, 10, 10, 4, 10, 10, 10,
    10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 6, 10, 4, 10, 10, 1,
    10, 10, 10, 4, 10, 10, 4, 4, 10, 1), lowest_p = c(1.13176982377617e-09,
    2.93949724616913e-08, 4.92717296729257e-08, 1.28289156237523e-07,
    1.62415289270518e-07, 1.92608750448286e-07, 3.0479796456821e-07,
    4.02595397922357e-07, 1.14447189315402e-06, 3.85889147603014e-06,
    5.31871678159313e-06, 5.71075754904134e-06, 6.45140791254426e-06,
    7.24753316730549e-06, 9.35056151457253e-06, 1.82363017611285e-05,
    2.12581586552987e-05, 2.64595699068908e-05, 4.6597469821752e-05,
    4.98198842682016e-05, 5.86295484109718e-05, 6.59505467033765e-05,
    6.71006092262041e-05, 8.27242543053842e-05, 8.27242543053842e-05,
    0.000102133011360742, 0.000109511832045221, 0.000175058514276467,
    0.000205413654442725, 0.000215845947445732, 0.000232375497865294,
    0.000236530569745578, 0.000338442402119131, 0.000344416946902365,
    0.00044762418175375, 0.000658522224736057, 0.000757737534476384,
    0.000924281689018714, 0.00100528665146015, 0.00114158728368298,
    0.00129713659363109, 0.00131073220440479, 0.00136542987628312,
    0.0016553337724271, 0.00166948746454826, 0.00178167130805164,
    0.00196426861327604, 0.0020126582603898, 0.00214042165482919,
    0.00291285853648065, 0.00294281377768277, 0.00327663038411591,
    0.00404525748180097, 0.00449788928365623, 0.00572341331925352,
    0.00589378445647386, 0.00625726824107716, 0.00625726824107716,
    0.00641503331582338, 0.00691587827136818, 0.00781931768845344,
    0.00883579886127475, 0.009346830256011, 0.00997004944586512,
    0.010139823838978, 0.0101584613812224, 0.0113844225419134, 0.0116211177369716,
    0.0124479514107009, 0.0126307614009921, 0.012807459985889, 0.0129097982237041,
    0.0139636029694454, 0.0150610008654792, 0.0158118660309634, 0.0169202250874646,
    0.0171581255299372, 0.0196032085763412, 0.023734304276094, 0.0243316079126903,
    0.024441130887625, 0.0250695949192783, 0.0260230627682392, 0.0265707745450152,
    0.0270073104121899, 0.0270339505868963, 0.0279120717681144, 0.0322880337901534,
    0.0322880337901534, 0.0326545981663725, 0.0330235903735304, 0.0394786019607892,
    0.0422506670938151, 0.0437250057329596, 0.0471659234075508),
     highest_p = c(3.72591910672007e-09, 2.93949724616913e-08,
     4.92717296729257e-08, 1.28289156237523e-07, 1.62415289270518e-07,
     1.92608750448286e-07, 3.0479796456821e-07, 4.02595397922357e-07,
     1.14447189315402e-06, 5.76121834919795e-06, 5.31871678159313e-06,
     0.04445252310252, 8.77036377485396e-05, 7.24753316730549e-06,
     9.35056151457253e-06, 1.82363017611285e-05, 2.12581586552987e-05,
     3.94124597336792e-05, 4.6597469821752e-05, 4.98198842682016e-05,
     5.86295484109718e-05, 6.59505467033765e-05, 6.71006092262041e-05,
     0.00623864913557161, 8.27242543053842e-05, 0.000102133011360742,
     0.000109511832045221, 0.000175058514276467, 0.0144750415597275,
     0.0186456333567655, 0.000232375497865294, 0.000236530569745578,
     0.000338442402119131, 0.000344416946902365, 0.00044762418175375,
     0.000658522224736057, 0.000757737534476384, 0.000924281689018714,
     0.00100528665146015, 0.00114158728368298, 0.00129713659363109,
     0.00131073220440479, 0.00136542987628312, 0.0016553337724271,
     0.00166948746454826, 0.00178167130805164, 0.00196426861327604,
     0.0020126582603898, 0.0133520797306269, 0.00291285853648065,
     0.00294281377768277, 0.00327663038411591, 0.00404525748180097,
     0.00449788928365623, 0.00572341331925352, 0.00589378445647386,
     0.00625726824107716, 0.00625726824107716, 0.00641503331582338,
     0.00691587827136818, 0.00974450545949028, 0.0141469829627025,
     0.009346830256011, 0.0105816450407373, 0.010139823838978,
     0.0101584613812224, 0.0113844225419134, 0.0148055259648584,
     0.0124479514107009, 0.0157319487193053, 0.012807459985889,
     0.0129097982237041, 0.0139636029694454, 0.0150610008654792,
     0.0462523689572709, 0.0169202250874646, 0.0171581255299372,
     0.0277467995144712, 0.023734304276094, 0.0243316079126903,
     0.024441130887625, 0.0250695949192783, 0.0260230627682392,
     0.0287963127813091, 0.0270073104121899, 0.0270339505868963,
     0.0279120717681144, 0.0322880337901534, 0.0322880337901534,
     0.0326545981663725, 0.0367472194111895, 0.0394786019607892,
     0.0422506670938151, 0.0437250057329596, 0.0471659234075508
     ), Up_regulated = c("SF3B6, LSM3, BUD31", "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C, ATP6V1D, ATP6V0E1",
     "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C", "DDIT3, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "POLE4", "GAPDH, RTN3, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "LY96", "AP2B1, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C", "", "MRPS18C, RPS24, MRPL33, RPL26, RPL31, RPL39",
     "", "NUP214", "GSTO1, TXN, MMP9", "MYL6B, MYL6", "", "",
     "", "", "STX6, STX10", "HK3", "UQCRQ, COX6A1, COX7A2, COX7C",
     "", "MMP9, DDIT3", "GSTO1", "DDIT3", "GTF2B", "", "TLR5",
     "PPP2R3C", "", "", "HK3, GAPDH", "TLR5, GAPDH", "", "", "",
     "IGBP1, RRAGD", "", "", "ATP6V1D, RRAGD", "", "", "", "MMP9",
     "GTF2H5, POLE4", "", "", "", "CAMP, TXN", "CLEC4D", "ATP6V1D, ATP6V0E1, TLR6, NCF4",
     "POLE4", "", "PPP2R3C", "", "", "HK3", "MYL6B, MYL6", "",
     "", "", "", "ATP6V1D, ATP6V0E1", "LY96", "MMP9", "", "",
     "", "", "", "", "", "", "", "", "", "", "TLR6", "MYL6B, MYL6",
     "TLR6, LY96, TLR5", "ARG1", "TLR6, CAMP", "", "CKAP4, DDIT3",
     "", "S100A8, S100A9, MMP9", "", "AP2B1, ATP6V1D, ATP6V0E1",
     "", "", "NCF4, MMP9", "TRIP12", "", ""), Down_regulated = c("SNRPB, SF3B2, U2AF2, PUF60, DDX23, EIF4A3, HNRNPA1, PCBP1, SRSF8, SRSF5",
     "ATP6V0E2", "UBE2G1, VDAC1, SLC25A5", "IKBKB, FASLG", "MUTYH, APEX2, POLD2, PARP1",
     "CALM3, CALM1, ATP2A2", "PRKCQ, CARD11, TICAM1, IKBKB, UBE2I, CSNK2A2, PARP1",
     "SIN3A, HDAC1, TAF4, CREB1, VDAC1, SLC25A5", "ADCY7, CREB1, KDM1A, SMARCA4, ACTB, ACTG1, ARID1A, MTOR",
     "MTOR, JAK1, HLA-DPA1, NFATC3, PRKCQ, IKBKB, GATA3, IL27RA, IL2RB",
     "RPLP2", "MLH1, RPA1, POLD2", "NUP62, NUP93, RANGAP1, UBE2I, SUMO3, GEMIN4, EIF2S3, EIF2B1, EIF4A3, RNPS1, SRRM1",
     "CALM3, CALM1, KLF2, ACTB, ACTG1, IKBKB, SUMO3", "EEF2K, EEF2, CALM3, CALM1, NFATC3, ACTB, ACTG1, ADCY7",
     "SH2B3, CRKL, FASLG, CALM3, CALM1, ABL1, MAGED1, IRAK2, IKBKB",
     "TICAM1, JAK1, ZFP36, IKBKB, GNB1, MTOR, CALM3, CALM1, NFATC3, CREB1",
     "IL2RB, IL10RA, IL27RA, JAK1, PIAS3, MTOR", "MTOR, IKBKB, PRKCQ, CREB1",
     "STX2, BET1L, SNAP23", "PDHA1, PDHB, MTOR", "ATP2A2", "MTOR, IKBKB, GNB1, CALM3, CALM1, NFATC3, ADCY7, JAK1, CREB1, CRKL, IL10RA, FASLG",
     "HDAC1, SIN3A, BCL11B, SLC45A3, EWSR1, IL2RB, TAF15, ASPSCR1",
     "MTOR, ACTB, ACTG1, ARID1A, SMARCA4, BRD7", "FASLG, ACTB, ACTG1, PARP1, DFFB, IKBKB",
     "CREB1, JAK1, SCRIB, RBL2, HDAC1, DNAJA3, SRF", "ITGB1, ABL1, CRKL, ACTB, ACTG1, PFN1, IKBKB",
     "ACTB, ACTG1, DYNC1H1, PFN1", "EIF4A3, RNPS1, SRRM1, WDR33, DAZAP1",
     "MTOR, IKBKB, PRKCQ", "MTOR, IKBKB, JAK1, NFATC3, TICAM1, CSNK2A2, PRKCQ",
     "MTOR, PDHA1, PDHB", "ARF1, ACTB, ACTG1, SLC9A3R1, TUBB, ABL1, ITGB1, IKBKB, FASLG",
     "TRRAP, NFATC3, IL2RB, JAK1, VDAC1, SLC25A5, ANAPC1, IKBKB, ZFP36, ADCY7, HLA-DPA1, SRF, ETS1, CREB1",
     "RBL2, ABL1, HDAC1, CDKN1C, ANAPC1", "IKBKB, TICAM1, JAK1, HLA-DPA1, FASLG, VDAC1, SLC25A5, ACTB, ACTG1",
     "MTOR, PIK3R4, UVRAG, PRKCQ", "ITGB1, CRKL, ACTB, ACTG1, IKBKB, TICAM1, LCP2, NFATC3",
     "PSMD7, PSMB10", "WDR59, MTOR, TELO2, IKBKB, LPIN1", "CRKL, MTOR, CALM3, CALM1, NFATC3, GNB1, CFL1, IKBKB, FASLG",
     "LCP2, NFATC3, PRKCQ, CARD11, IKBKB", "HDAC1, GNB1, CREB1, CALM3, CALM1",
     "CREB1, IKBKB, MTOR", "XPC, RPA1, POLD2", "CREB1, CALM3, CALM1, PDHA1, PDHB",
     "MDH2, PDHA1, PDHB", "CRKL, ACTB, ACTG1, ITGB1", "IKBKB, VDAC1, JAK1, TICAM1",
     "CALM3, CALM1, NFATC3, IKBKB, IRF1", "ACTB, ACTG1, HLA-DPA1, ATP6V0E2, DYNC1H1, TUBB, ITGB1",
     "RPA1, POLD2", "PDHA1, PDHB, ALDH9A1, MDH2", "CALM3, CALM1, CREB1, GNB1, COMT",
     "ADCY7, ATP2A2, STIM2, VDAC1, SLC25A5, CALM3, CALM1", "ADCY7, GNB1, CALM3, CALM1, MTOR, PIK3R4, KLF2",
     "CALM3, CALM1, CRKL, MTOR, IKBKB", "CALM3, CALM1, PRKCH, PRKCQ, ADCY7",
     "ITGB1, ACTB, ACTG1, ATP2A2", "IKBKB, RALGDS, MTOR, JAK1",
     "ITGB1, ACTB, ACTG1, CRKL", "CALM3, CALM1, ADCY7, CRKL, LCP2, RALGDS, PFN1, EVL, ACTB, ACTG1, ITGB1",
     "ATP6V0E2, PDIA4, ARF1, ACTB, ACTG1", "ITGB1, CALM3, CALM1, CFL1, TICAM1, IRF1",
     "ACTB, ACTG1, MTOR, FASLG, ITGB1", "ITGB1, ACTB, ACTG1, ATP2A2",
     "ITGB1, CRKL, ACTB, ACTG1, PFN1, CFL1", "HLA-DPA1, IKBKB, JAK1, PSMD7, SIN3A, HDAC1, RUNX3",
     "JAK1, RUNX3, HLA-DPA1, NFATC3, PRKCQ, IKBKB, IL2RB, GATA3",
     "CALM3, CALM1, ADCY7, ACTB", "CALM3, CALM1, CREB1, HDAC1",
     "ITGB1, ACTB, ACTG1, ADCY7, ATP2A2", "ABL1, CRKL, IKBKB, HDAC1",
     "GNB1, CALM3, CALM1, RASA3, RASAL3, IKBKB, FASLG, ETS1, RALGDS, ABL1",
     "TELO2, MLH1, RPA1", "IKBKB, MTOR", "CRKL, ABL1, MTOR", "TICAM1, IKBKB, FASLG",
     "ARHGAP17, SCRIB, TJAP1, SLC9A3R1, ACTB, ACTG1, ITGB1", "IKBKB, TICAM1",
     "CKB, ALDH9A1, CNDP2, PYCR2, GOT1", "JAK1, CREB1, HLA-DPA1, CD74, IL10RA, IRAK2, CALM3, CALM1",
     "SIN3A, HDAC1, MED24, ATP2A2, MTOR, ACTB, ACTG1", "DDOST, EDEM1, PDIA4, UBE2G1",
     "NFATC3, CARD11, IKBKB, CD81", "IKBKB", "CALM3, CALM1, MTOR",
     "STX2, ATP6V0E2", "ACTB, ACTG1, CSNK2A2", "ABL1, ACTB, ACTG1, HLA-DPA1",
     "ITGB1, ACTB, ACTG1", "UBE2G1, UBE2I, HERC1, PIAS3, ANAPC1",
     "CD81, TICAM1, IKBKB, JAK1, FASLG", "IKBKB, CSNK2A2, JAK1, RAB9A, FASLG, IL2RB"
     )), use_description = FALSE)
    where 2: do.call(.fcn, args = args, envir = envir)
    where 3: doCall.default("cluster_graph_vis", clu_obj = clu_obj, kappa_mat = kappa_mat,
     enrichment_res = enrichment_res, use_description = use_description,
     ...)
    where 4: R.utils::doCall("cluster_graph_vis", clu_obj = clu_obj, kappa_mat = kappa_mat,
     enrichment_res = enrichment_res, use_description = use_description,
     ...)
    where 5: cluster_enriched_terms(RA_output, method = "fuzzy")
    where 6: eval(expr, envir, enclos)
    where 7: eval(expr, envir, enclos)
    where 8: withVisible(eval(expr, envir, enclos))
    where 9: withCallingHandlers(withVisible(eval(expr, envir, enclos)), warning = wHandler,
     error = eHandler, message = mHandler)
    where 10: handle(ev <- withCallingHandlers(withVisible(eval(expr, envir,
     enclos)), warning = wHandler, error = eHandler, message = mHandler))
    where 11: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval(expr,
     envir, enclos)), warning = wHandler, error = eHandler, message = mHandler)))
    where 12: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos,
     debug = debug, last = i == length(out), use_try = stop_on_error !=
     2L, keep_warning = keep_warning, keep_message = keep_message,
     output_handler = output_handler, include_timing = include_timing)
    where 13: evaluate::evaluate(...)
    where 14: evaluate(code, envir = env, new_device = FALSE, keep_warning = !isFALSE(options$warning),
     keep_message = !isFALSE(options$message), stop_on_error = if (options$error &&
     options$include) 0L else 2L, output_handler = knit_handlers(options$render,
     options))
    where 15: in_dir(input_dir(), evaluate(code, envir = env, new_device = FALSE,
     keep_warning = !isFALSE(options$warning), keep_message = !isFALSE(options$message),
     stop_on_error = if (options$error && options$include) 0L else 2L,
     output_handler = knit_handlers(options$render, options)))
    where 16: block_exec(params)
    where 17: call_block(x)
    where 18: process_group.block(group)
    where 19: process_group(group)
    where 20: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),
     error = function(e) {
     setwd(wd)
     cat(res, sep = "\n", file = output %n% "")
     message("Quitting from lines ", paste(current_lines(i),
     collapse = "-"), " (", knit_concord$get("infile"),
     ") ")
     })
    where 21: process_file(text, output)
    where 22: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet,
     encoding = encoding)
    where 23: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(),
     ...)
    where 24: vweave_rmarkdown(...)
    where 25: engine$weave(file, quiet = quiet, encoding = enc)
    where 26: doTryCatch(return(expr), name, parentenv, handler)
    where 27: tryCatchOne(expr, names, parentenv, handlers[[1L]])
    where 28: tryCatchList(expr, classes, parentenv, handlers)
    where 29: tryCatch({
     engine$weave(file, quiet = quiet, encoding = enc)
     setwd(startdir)
     output <- find_vignette_product(name, by = "weave", engine = engine)
     if (!have.makefile && vignette_is_tex(output)) {
     texi2pdf(file = output, clean = FALSE, quiet = quiet)
     output <- find_vignette_product(name, by = "texi2pdf",
     engine = engine)
     }
    }, error = function(e) {
     OK <<- FALSE
     message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",
     file, conditionMessage(e)))
    })
    where 30: tools:::.buildOneVignette("intro_vignette.Rmd", "/home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/pathfindR.Rcheck/vign_test/pathfindR",
     TRUE, FALSE, "intro_vignette", "UTF-8", "/tmp/RtmphmsUvR/file2e0d385a43d3.rds")
    
     --- value of length: 2 type: logical ---
    [1] TRUE FALSE
     --- function from context ---
    function (clu_obj, kappa_mat, enrichment_res, kappa_threshold = 0.35,
     use_description = FALSE)
    {
     chosen_id <- ifelse(use_description, which(colnames(enrichment_res) ==
     "Term_Description"), which(colnames(enrichment_res) ==
     "ID"))
     all_cols <- c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
     "#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999",
     "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854",
     "#FFD92F", "#E5C494", "#B3B3B3", "#8DD3C7", "#FFFFB3",
     "#BEBADA", "#FB8072", "#80B1D3", "#FDB462", "#B3DE69",
     "#FCCDE5", "#D9D9D9", "#BC80BD", "#CCEBC5", "#FFED6F",
     "#A6CEE3", "#1F78B4", "#B2DF8A", "#33A02C", "#FB9A99",
     "#E31A1C", "#FDBF6F", "#FF7F00", "#CAB2D6", "#6A3D9A",
     "#FFFF99", "#B15928")
     if (class(clu_obj) == "matrix") {
     if (!all(rownames(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 < kappa_threshold, 0,
     kappa_mat2)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in%
     colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in%
     rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     values <- apply(clu_obj, 1, function(x) which(x))
     percs <- list()
     for (i in base::seq_len(length(values))) {
     percs[[i]] <- rep(1/length(values[[i]]), length(values[[i]]))
     }
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2,
     weighted = TRUE)
     if (length(all_cols) < max(as.integer(colnames(clu_obj)))) {
     num_extra <- max(as.integer(colnames(clu_obj))) -
     length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$shape <- ifelse(vapply(percs, length, 1) >
     1, "pie", "circle")
     cols <- lapply(values, function(x) all_cols[x])
     igraph::V(g)$color <- vapply(cols, function(x) x[1],
     "")
     p_idx <- match(names(igraph::V(g)), enrichment_res[,
     chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, vertex.pie = percs, vertex.pie.color = cols,
     layout = igraph::layout_nicely(g), edge.curved = FALSE,
     vertex.label.dist = 0, vertex.label.color = "black",
     asp = 1, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     }
     else if (class(clu_obj) == "integer") {
     if (!all(names(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 > kappa_threshold, kappa_mat2,
     0)
     missing <- names(clu_obj)[!names(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- names(clu_obj)[!names(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2,
     weighted = TRUE)
     igraph::V(g)$Clu <- clu_obj[match(igraph::V(g)$name,
     names(clu_obj))]
     if (length(all_cols) < max(as.integer(igraph::V(g)$Clu))) {
     num_extra <- max(clu_obj) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$color <- all_cols[as.integer(igraph::V(g)$Clu)]
     p_idx <- match(names(igraph::V(g)), enrichment_res[,
     chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, layout = igraph::layout_nicely(g),
     edge.curved = FALSE, vertex.label.dist = 0, vertex.label.color = "black",
     asp = 0, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     }
     else {
     stop("Invalid class for `clu_obj`!")
     }
    }
    <bytecode: 0xcda4118>
    <environment: namespace:pathfindR>
     --- function search by body ---
    Function cluster_graph_vis in namespace pathfindR has this body.
     ----------- END OF FAILURE REPORT --------------
    Fatal error: the condition has length > 1
    --- re-building 'manual_execution.Rmd' using rmarkdown
    --- finished re-building 'manual_execution.Rmd'
    
    --- re-building 'non_hs_analysis.Rmd' using rmarkdown
    --- finished re-building 'non_hs_analysis.Rmd'
    
    SUMMARY: processing the following file failed:
     'intro_vignette.Rmd'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.4.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [98s/119s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > ##################################################
     > ## Project: pathfindR
     > ## Script purpose: Main test_check script
     > ## Date: Aug 28, 2019
     > ## Author: Ege Ulgen
     > ##################################################
     >
     > library(testthat)
     > library(pathfindR)
     ##############################################################################
     Welcome to pathfindR!
    
     Please cite the article below if you use pathfindR in published reseach:
    
     Ulgen E, Ozisik O, Sezerman OU. 2019. pathfindR: An R Package for Comprehensive
     Identification of Enriched Pathways in Omics Data Through Active Subnetworks.
     Front. Genet. doi:10.3389/fgene.2019.00858
    
     ##############################################################################
     >
     > test_check("pathfindR")
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     pathfindR
     --- call from context ---
     cluster_graph_vis(clu_obj, kappa_mat, enrichment_res)
     --- call from argument ---
     if (class(clu_obj) == "matrix") {
     if (!all(rownames(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 < kappa_threshold, 0, kappa_mat2)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     values <- apply(clu_obj, 1, function(x) which(x))
     percs <- list()
     for (i in base::seq_len(length(values))) {
     percs[[i]] <- rep(1/length(values[[i]]), length(values[[i]]))
     }
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     if (length(all_cols) < max(as.integer(colnames(clu_obj)))) {
     num_extra <- max(as.integer(colnames(clu_obj))) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$shape <- ifelse(vapply(percs, length, 1) > 1,
     "pie", "circle")
     cols <- lapply(values, function(x) all_cols[x])
     igraph::V(g)$color <- vapply(cols, function(x) x[1], "")
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, vertex.pie = percs, vertex.pie.color = cols,
     layout = igraph::layout_nicely(g), edge.curved = FALSE,
     vertex.label.dist = 0, vertex.label.color = "black",
     asp = 1, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     } else if (class(clu_obj) == "integer") {
     if (!all(names(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 > kappa_threshold, kappa_mat2,
     0)
     missing <- names(clu_obj)[!names(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- names(clu_obj)[!names(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     igraph::V(g)$Clu <- clu_obj[match(igraph::V(g)$name, names(clu_obj))]
     if (length(all_cols) < max(as.integer(igraph::V(g)$Clu))) {
     num_extra <- max(clu_obj) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$color <- all_cols[as.integer(igraph::V(g)$Clu)]
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, layout = igraph::layout_nicely(g),
     edge.curved = FALSE, vertex.label.dist = 0, vertex.label.color = "black",
     asp = 0, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     } else {
     stop("Invalid class for `clu_obj`!")
     }
     --- R stacktrace ---
     where 1: cluster_graph_vis(clu_obj, kappa_mat, enrichment_res)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withVisible(code)
     where 4: withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message)
     where 5: force(code)
     where 6: withr::with_output_sink(temp, withCallingHandlers(withVisible(code),
     warning = handle_warning, message = handle_message))
     where 7: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 8: quasi_capture(enquo(object), NULL, evaluate_promise)
     where 9 at testthat/test-clustering_functions.R#208: expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res))
     where 10: eval(code, test_env)
     where 11: eval(code, test_env)
     where 12: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 15: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 16: doTryCatch(return(expr), name, parentenv, handler)
     where 17: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 18: tryCatchList(expr, classes, parentenv, handlers)
     where 19: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 20: test_code(desc, code, env = parent.frame())
     where 21 at testthat/test-clustering_functions.R#196: test_that("Graph visualization of clusters via `cluster_graph_vis()` works OK",
     {
     enrichment_res <- RA_output[1:5, ]
     kappa_mat <- create_kappa_matrix(enrichment_res)
     clu_obj <- hierarchical_term_clustering(kappa_mat, enrichment_res)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res))
     clu_obj <- fuzzy_term_clustering(kappa_mat, enrichment_res)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res))
     kappa_mat <- create_kappa_matrix(enrichment_res, use_description = TRUE)
     clu_obj <- hierarchical_term_clustering(kappa_mat, enrichment_res,
     use_description = TRUE)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res,
     use_description = TRUE))
     clu_obj <- fuzzy_term_clustering(kappa_mat, enrichment_res,
     use_description = TRUE)
     expect_silent(cluster_graph_vis(clu_obj, kappa_mat, enrichment_res,
     use_description = TRUE))
     })
     where 22: eval(code, test_env)
     where 23: eval(code, test_env)
     where 24: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 27: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 28: doTryCatch(return(expr), name, parentenv, handler)
     where 29: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 30: tryCatchList(expr, classes, parentenv, handlers)
     where 31: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 32: test_code(NULL, exprs, env)
     where 33: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 34: force(code)
     where 35: doWithOneRestart(return(expr), restart)
     where 36: withOneRestart(expr, restarts[[1L]])
     where 37: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 38: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 39: FUN(X[[i]], ...)
     where 40: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 41: force(code)
     where 42: doWithOneRestart(return(expr), restart)
     where 43: withOneRestart(expr, restarts[[1L]])
     where 44: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 45: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 46: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 47: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 48: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 49: test_check("pathfindR")
    
     --- value of length: 2 type: logical ---
     [1] TRUE FALSE
     --- function from context ---
     function (clu_obj, kappa_mat, enrichment_res, kappa_threshold = 0.35,
     use_description = FALSE)
     {
     chosen_id <- ifelse(use_description, which(colnames(enrichment_res) ==
     "Term_Description"), which(colnames(enrichment_res) ==
     "ID"))
     all_cols <- c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
     "#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999",
     "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854",
     "#FFD92F", "#E5C494", "#B3B3B3", "#8DD3C7", "#FFFFB3",
     "#BEBADA", "#FB8072", "#80B1D3", "#FDB462", "#B3DE69",
     "#FCCDE5", "#D9D9D9", "#BC80BD", "#CCEBC5", "#FFED6F",
     "#A6CEE3", "#1F78B4", "#B2DF8A", "#33A02C", "#FB9A99",
     "#E31A1C", "#FDBF6F", "#FF7F00", "#CAB2D6", "#6A3D9A",
     "#FFFF99", "#B15928")
     if (class(clu_obj) == "matrix") {
     if (!all(rownames(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 < kappa_threshold, 0,
     kappa_mat2)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in%
     colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in%
     rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     values <- apply(clu_obj, 1, function(x) which(x))
     percs <- list()
     for (i in base::seq_len(length(values))) {
     percs[[i]] <- rep(1/length(values[[i]]), length(values[[i]]))
     }
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2,
     weighted = TRUE)
     if (length(all_cols) < max(as.integer(colnames(clu_obj)))) {
     num_extra <- max(as.integer(colnames(clu_obj))) -
     length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$shape <- ifelse(vapply(percs, length, 1) >
     1, "pie", "circle")
     cols <- lapply(values, function(x) all_cols[x])
     igraph::V(g)$color <- vapply(cols, function(x) x[1],
     "")
     p_idx <- match(names(igraph::V(g)), enrichment_res[,
     chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, vertex.pie = percs, vertex.pie.color = cols,
     layout = igraph::layout_nicely(g), edge.curved = FALSE,
     vertex.label.dist = 0, vertex.label.color = "black",
     asp = 1, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     }
     else if (class(clu_obj) == "integer") {
     if (!all(names(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 > kappa_threshold, kappa_mat2,
     0)
     missing <- names(clu_obj)[!names(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- names(clu_obj)[!names(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2,
     weighted = TRUE)
     igraph::V(g)$Clu <- clu_obj[match(igraph::V(g)$name,
     names(clu_obj))]
     if (length(all_cols) < max(as.integer(igraph::V(g)$Clu))) {
     num_extra <- max(clu_obj) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$color <- all_cols[as.integer(igraph::V(g)$Clu)]
     p_idx <- match(names(igraph::V(g)), enrichment_res[,
     chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, layout = igraph::layout_nicely(g),
     edge.curved = FALSE, vertex.label.dist = 0, vertex.label.color = "black",
     asp = 0, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
     }
     else {
     stop("Invalid class for `clu_obj`!")
     }
     }
     <bytecode: 0x56520a57aae8>
     <environment: namespace:pathfindR>
     --- function search by body ---
     Function cluster_graph_vis in namespace pathfindR has this body.
     ----------- END OF FAILURE REPORT --------------
     Fatal error: the condition has length > 1
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.4.1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘intro_vignette.Rmd’ using rmarkdown
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
    :
     --- package (from environment) ---
    pathfindR
     --- call from context ---
    cluster_graph_vis(clu_obj = c(FALSE, TRUE, TRUE, TRUE, FALSE,
    TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE,
    FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE,
    FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
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    0.488571428571429, 0.241817481709665, 0.345007841087297, -0.0292733925771034,
    0.383467278989668, 0.488571428571429, 0.383467278989668, 0.157867224255097,
    0.141074856046064, 0.232857142857144, -0.0228571428571413, 0.43029917250159,
    0.232857142857144, 0.114591920857378, -0.0195280716029301, -0.015122873345933,
    0.271765663140764, -0.0228571428571413, 0.285587583148559, -0.0254614894971367,
    -0.0275545350172228, 0.114591920857378, 0.345007841087297, -0.0275545350172228,
    -0.0228571428571413, -0.0228571428571413, -0.0195280716029301,
    -0.0254614894971367, 0.563059397884458, 1, 0.43029917250159,
    -0.0275545350172228, -0.0254614894971367, -0.0275545350172228,
    -0.0420439844760674, -0.03725165562914, -0.03725165562914, -0.03725165562914,
    -0.0287356321839083, -0.0399419026870005, -0.0356030262572318,
    -0.0420439844760674, 0.176632934682613, -0.03725165562914, -0.0336862367661219,
    -0.0213980028530667, -0.0410537119397872, 0.37678916827853, 0.238297872340426,
    -0.03725165562914, -0.0386847195357823, -0.0314300680984804,
    -0.0254614894971367, -0.0287356321839083, -0.0254614894971367,
    -0.0287356321839083, -0.0410537119397872, 0.0998065764023219,
    0.31087584215592, 0.31087584215592, -0.0356030262572318, 0.48315688161694,
    0.382758620689656, -0.0314300680984804, -0.0213980028530667,
    -0.0336862367661219, -0.0287356321839083, 0.350036310820624,
    -0.0429316160686914, -0.0287356321839083, 0.2591059602649, -0.0314300680984804,
    0.442367601246106, -0.0162206001622067, -0.0336862367661219,
    -0.03725165562914, -0.0287356321839083, -0.0287356321839083,
    0.202418841502227, -0.0287356321839083, -0.0287356321839083,
    -0.0213980028530667, 0.658179503500954, -0.0314300680984804,
    -0.0314300680984804, 0.4800290486565, -0.0213980028530667, -0.0254614894971367,
    -0.0314300680984804, -0.0336862367661219, -0.0336862367661219,
    -0.0314300680984804, -0.0336862367661219, 0.658179503500954,
    -0.0254614894971367, 0.658179503500954, 0.350036310820624, 0.31087584215592,
    0.138594802694898, 0.718700890518596, 0.658179503500954, 0.531168150864327,
    -0.0336862367661219, -0.0356030262572318, 0.202418841502227,
    -0.0254614894971367, 0.588505747126438, -0.0254614894971367,
    -0.0386847195357823, -0.0213980028530667, -0.0162206001622067,
    -0.0213980028530667, -0.0254614894971367, 0.407284768211921,
    -0.0287356321839083, -0.0314300680984804, -0.0386847195357823,
    0.31087584215592, -0.0314300680984804, -0.0254614894971367, 0.202418841502227,
    -0.0213980028530667, -0.0287356321839083, 0.489300998573467,
    0.43029917250159, 1, -0.0314300680984804, -0.0287356321839083,
    -0.0314300680984804, -0.0480739599383677, -0.0419091967403949,
    0.0970120294916577, -0.0419091967403949, -0.0314300680984804,
    -0.0453452421848158, 0.108713692946058, -0.0480739599383677,
    -0.0492379835873389, -0.0419091967403949, -0.0374498439589836,
    -0.0228571428571439, 0.0695256660168942, -0.0437317784256566,
    -0.0437317784256566, -0.0419091967403949, -0.0437317784256566,
    0.13776493256262, -0.0275545350172228, -0.0314300680984804, -0.0275545350172228,
    -0.0314300680984804, -0.0467836257309939, -0.0437317784256566,
    -0.0374498439589836, -0.0374498439589836, -0.0398340248962658,
    -0.0374498439589836, -0.0314300680984804, -0.0346820809248553,
    -0.0228571428571439, -0.0374498439589836, -0.0314300680984804,
    -0.0453452421848158, 0.0556858147713949, 0.156102671555789, -0.0419091967403949,
    -0.0346820809248553, -0.0398340248962658, -0.0170454545454528,
    -0.0374498439589836, -0.0419091967403949, -0.0314300680984804,
    -0.0314300680984804, -0.0275545350172228, -0.0314300680984804,
    -0.0314300680984804, -0.0228571428571439, -0.0275545350172228,
    -0.0346820809248553, -0.0346820809248553, -0.0453452421848158,
    -0.0228571428571439, -0.0275545350172228, -0.0346820809248553,
    -0.0374498439589836, -0.0374498439589836, -0.0346820809248553,
    -0.0374498439589836, -0.0275545350172228, -0.0275545350172228,
    -0.0275545350172228, -0.0453452421848158, -0.0374498439589836,
    -0.0374498439589836, -0.0346820809248553, -0.0275545350172228,
    -0.0346820809248553, -0.0374498439589836, -0.0398340248962658,
    -0.0275545350172228, -0.0275545350172228, -0.0314300680984804,
    -0.0275545350172228, -0.0437317784256566, -0.0228571428571439,
    -0.0170454545454528, -0.0228571428571439, -0.0275545350172228,
    -0.0419091967403949, -0.0314300680984804, -0.0346820809248553,
    -0.0437317784256566, -0.0374498439589836, 0.13776493256262, -0.0275545350172228,
    -0.0275545350172228, -0.0228571428571439, -0.0314300680984804,
    -0.0228571428571439, -0.0275545350172228, -0.0314300680984804,
    1, -0.0314300680984804, -0.0346820809248553, -0.0420439844760674,
    -0.03725165562914, -0.03725165562914, 0.2591059602649, -0.0287356321839083,
    -0.0399419026870005, 0.283044058744993, -0.0420439844760674,
    -0.0429316160686914, 0.2591059602649, -0.0336862367661219, -0.0213980028530667,
    -0.0410537119397872, 0.0998065764023219, -0.0386847195357823,
    0.2591059602649, 0.37678916827853, 0.156102671555789, 0.202418841502227,
    -0.0287356321839083, -0.0254614894971367, -0.0287356321839083,
    0.326377009921314, -0.0386847195357823, -0.0336862367661219,
    0.31087584215592, 0.123720516243881, 0.138594802694898, -0.0287356321839083,
    -0.0314300680984804, 0.2339514978602, 0.48315688161694, -0.0287356321839083,
    0.220043572984749, 0.176632934682613, -0.0287356321839083, 0.555463576158941,
    -0.0314300680984804, 0.283044058744993, -0.0162206001622067,
    0.138594802694898, 0.2591059602649, 0.177011494252875, -0.0287356321839083,
    0.202418841502227, -0.0287356321839083, -0.0287356321839083,
    -0.0213980028530667, -0.0254614894971367, 0.531168150864327,
    0.156102671555789, -0.0399419026870005, -0.0213980028530667,
    -0.0254614894971367, -0.0314300680984804, -0.0336862367661219,
    -0.0336862367661219, 0.156102671555789, -0.0336862367661219,
    -0.0254614894971367, 0.43029917250159, -0.0254614894971367, -0.0399419026870005,
    -0.0336862367661219, 0.138594802694898, 0.156102671555789, -0.0254614894971367,
    -0.0314300680984804, 0.31087584215592, 0.283044058744993, -0.0254614894971367,
    -0.0254614894971367, -0.0287356321839083, 0.202418841502227,
    0.238297872340426, -0.0213980028530667, 0.274128142741281, -0.0213980028530667,
    0.658179503500954, -0.03725165562914, 0.382758620689656, -0.0314300680984804,
    0.0998065764023219, -0.0336862367661219, -0.0314300680984804,
    0.43029917250159, 0.202418841502227, -0.0213980028530667, -0.0287356321839083,
    -0.0213980028530667, -0.0254614894971367, -0.0287356321839083,
    -0.0314300680984804, 1, 0.531168150864327, -0.0480739599383677,
    -0.0419091967403949, -0.0419091967403949, 0.23593325572371, -0.0314300680984804,
    -0.0453452421848158, 0.257261410788381, -0.0480739599383677,
    -0.0492379835873389, 0.374854481955763, -0.0374498439589836,
    -0.0228571428571439, -0.0467836257309939, 0.0867346938775503,
    -0.0437317784256566, 0.23593325572371, 0.217201166180757, 0.310211946050098,
    0.177956371986223, -0.0314300680984804, -0.0275545350172228,
    -0.0314300680984804, 0.30214424951267, 0.0867346938775503, -0.0374498439589836,
    0.28176549264378, 0.108713692946058, 0.122157824342398, -0.0314300680984804,
    -0.0346820809248553, 0.204444444444443, 0.441373160945162, -0.0314300680984804,
    0.200618344211611, 0.265533411488862, -0.0314300680984804, 0.374854481955763,
    -0.0346820809248553, 0.108713692946058, -0.0170454545454528,
    0.122157824342398, 0.23593325572371, 0.156102671555789, -0.0314300680984804,
    0.177956371986223, -0.0314300680984804, -0.0314300680984804,
    -0.0228571428571439, -0.0275545350172228, 0.310211946050098,
    0.13776493256262, -0.0453452421848158, -0.0228571428571439, -0.0275545350172228,
    -0.0346820809248553, -0.0374498439589836, -0.0374498439589836,
    0.13776493256262, -0.0374498439589836, -0.0275545350172228, 0.383467278989668,
    -0.0275545350172228, -0.0453452421848158, -0.0374498439589836,
    -0.0374498439589836, 0.13776493256262, -0.0275545350172228, -0.0346820809248553,
    0.28176549264378, 0.405809128630706, -0.0275545350172228, -0.0275545350172228,
    -0.0314300680984804, 0.177956371986223, 0.217201166180757, -0.0228571428571439,
    0.23721590909091, -0.0228571428571439, 0.383467278989668, -0.0419091967403949,
    0.156102671555789, -0.0346820809248553, 0.0867346938775503, -0.0374498439589836,
    -0.0346820809248553, 0.177956371986223, 0.177956371986223, -0.0228571428571439,
    -0.0314300680984804, 0.204444444444443, -0.0275545350172228,
    -0.0314300680984804, -0.0346820809248553, 0.531168150864327,
    1), enrichment_res = list(ID = c("hsa03040", "hsa00190", "hsa05012",
    "hsa04932", "hsa03410", "hsa05010", "hsa04064", "hsa05016", "hsa04714",
    "hsa04659", "hsa03010", "hsa03430", "hsa03013", "hsa05418", "hsa04921",
    "hsa04722", "hsa05167", "hsa04630", "hsa04931", "hsa04130", "hsa05230",
    "hsa04260", "hsa05163", "hsa05202", "hsa05225", "hsa04210", "hsa05203",
    "hsa05131", "hsa05132", "hsa03015", "hsa04920", "hsa05235", "hsa04066",
    "hsa05130", "hsa05166", "hsa04110", "hsa05164", "hsa04140", "hsa05135",
    "hsa03050", "hsa04150", "hsa05170", "hsa04660", "hsa05034", "hsa05215",
    "hsa03420", "hsa04922", "hsa00020", "hsa05100", "hsa04621", "hsa04625",
    "hsa04145", "hsa03030", "hsa00620", "hsa04728", "hsa04020", "hsa04371",
    "hsa04910", "hsa04270", "hsa05412", "hsa05212", "hsa04510", "hsa04015",
    "hsa05110", "hsa05133", "hsa05205", "hsa05410", "hsa04810", "hsa05169",
    "hsa04658", "hsa04971", "hsa05031", "hsa05414", "hsa05220", "hsa04014",
    "hsa03460", "hsa05221", "hsa04012", "hsa05142", "hsa04530", "hsa04620",
    "hsa00330", "hsa05152", "hsa04919", "hsa04141", "hsa04662", "hsa04657",
    "hsa05214", "hsa04721", "hsa04520", "hsa05416", "hsa04670", "hsa04120",
    "hsa05160", "hsa05162"), Term_Description = c("Spliceosome",
    "Oxidative phosphorylation", "Parkinson disease", "Non-alcoholic fatty liver disease (NAFLD)",
    "Base excision repair", "Alzheimer disease", "NF-kappa B signaling pathway",
    "Huntington disease", "Thermogenesis", "Th17 cell differentiation",
    "Ribosome", "Mismatch repair", "RNA transport", "Fluid shear stress and atherosclerosis",
    "Oxytocin signaling pathway", "Neurotrophin signaling pathway",
    "Kaposi sarcoma-associated herpesvirus infection", "JAK-STAT signaling pathway",
    "Insulin resistance", "SNARE interactions in vesicular transport",
    "Central carbon metabolism in cancer", "Cardiac muscle contraction",
    "Human cytomegalovirus infection", "Transcriptional misregulation in cancer",
    "Hepatocellular carcinoma", "Apoptosis", "Viral carcinogenesis",
    "Shigellosis", "Salmonella infection", "mRNA surveillance pathway",
    "Adipocytokine signaling pathway", "PD-L1 expression and PD-1 checkpoint pathway in cancer",
    "HIF-1 signaling pathway", "Pathogenic Escherichia coli infection",
    "Human T-cell leukemia virus 1 infection", "Cell cycle", "Influenza A",
    "Autophagy - animal", "Yersinia infection", "Proteasome", "mTOR signaling pathway",
    "Human immunodeficiency virus 1 infection", "T cell receptor signaling pathway",
    "Alcoholism", "Prostate cancer", "Nucleotide excision repair",
    "Glucagon signaling pathway", "Citrate cycle (TCA cycle)", "Bacterial invasion of epithelial cells",
    "NOD-like receptor signaling pathway", "C-type lectin receptor signaling pathway",
    "Phagosome", "DNA replication", "Pyruvate metabolism", "Dopaminergic synapse",
    "Calcium signaling pathway", "Apelin signaling pathway", "Insulin signaling pathway",
    "Vascular smooth muscle contraction", "Arrhythmogenic right ventricular cardiomyopathy (ARVC)",
    "Pancreatic cancer", "Focal adhesion", "Rap1 signaling pathway",
    "Vibrio cholerae infection", "Pertussis", "Proteoglycans in cancer",
    "Hypertrophic cardiomyopathy (HCM)", "Regulation of actin cytoskeleton",
    "Epstein-Barr virus infection", "Th1 and Th2 cell differentiation",
    "Gastric acid secretion", "Amphetamine addiction", "Dilated cardiomyopathy (DCM)",
    "Chronic myeloid leukemia", "Ras signaling pathway", "Fanconi anemia pathway",
    "Acute myeloid leukemia", "ErbB signaling pathway", "Chagas disease (American trypanosomiasis)",
    "Tight junction", "Toll-like receptor signaling pathway", "Arginine and proline metabolism",
    "Tuberculosis", "Thyroid hormone signaling pathway", "Protein processing in endoplasmic reticulum",
    "B cell receptor signaling pathway", "IL-17 signaling pathway",
    "Glioma", "Synaptic vesicle cycle", "Adherens junction", "Viral myocarditis",
    "Leukocyte transendothelial migration", "Ubiquitin mediated proteolysis",
    "Hepatitis C", "Measles"), Fold_Enrichment = c(3.09750311607897,
    2.52396952344896, 2.31876874918482, 1.98061497326203, 4.80149084427159,
    2.26355996944232, 2.5351871657754, 2.3676316921753, 2.14327417396471,
    2.71627196333079, 1.45940050661413, 4.13345733550337, 2.40682325864753,
    2.29636518639076, 2.20068330362448, 2.41702166228587, 1.74119997649409,
    1.23466907424127, 1.21883998354587, 4.66027052532243, 1.86410821012897,
    2.08485786659161, 1.72071527088828, 1.90902648025256, 1.33631853617679,
    1.64317686670628, 1.54584583278988, 3.46607620320856, 2.1126559714795,
    2.18550617739259, 1.46260798025504, 2.49245929219492, 1.50903997962822,
    1.79684657368102, 2.03512731197567, 1.27781611178196, 1.7181238322273,
    1.40843731431967, 2.13040938300454, 1.47394602661361, 1.50903997962822,
    1.39808115759673, 1.56880393921745, 1.49480375340531, 1.32040998217469,
    3.44454777958614, 1.58449197860963, 3.16898395721925, 1.95014397367339,
    1.13855711037817, 1.88256472706094, 2.32392156862745, 2.64081996434938,
    3.25023995612231, 1.45144303384088, 1.19262837099649, 1.65543938063692,
    1.41894804054593, 1.80348680492153, 1.76054664289958, 1.6901247771836,
    0.656784239838187, 1.70043041606887, 4.52711993888465, 2.91880101322826,
    0.950695187165775, 1.49128656810318, 0.918546074556305, 1.12034786366337,
    2.88089450656296, 1.76054664289958, 1.86410821012897, 1.74119997649409,
    1.66788629327329, 1.41472498090145, 1.94019425952199, 0.945965360363956,
    1.14541588815154, 1.25504315137396, 1.79376450408637, 1.55342350844081,
    4.04551143474798, 1.80055906660185, 1.91231790521851, 1.21107667154876,
    1.62511997806115, 1.44044725328148, 1.2675935828877, 2.1126559714795,
    1.44044725328148, 2.14846369980966, 1.50903997962822, 1.44044725328148,
    1.06341743530847, 1.38787618564347), occurrence = c(10, 10, 10,
    10, 4, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
    2, 10, 10, 10, 10, 5, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
    9, 10, 3, 10, 10, 3, 10, 10, 10, 10, 10, 10, 4, 10, 10, 10, 10,
    4, 4, 10, 1, 10, 10, 10, 10, 10, 10, 10, 10, 10, 4, 10, 10, 10,
    10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 6, 10, 4, 10, 10, 1,
    10, 10, 10, 4, 10, 10, 4, 4, 10, 1), lowest_p = c(1.13176982377617e-09,
    2.93949724616913e-08, 4.92717296729257e-08, 1.28289156237523e-07,
    1.62415289270518e-07, 1.92608750448286e-07, 3.0479796456821e-07,
    4.02595397922357e-07, 1.14447189315402e-06, 3.85889147603014e-06,
    5.31871678159313e-06, 5.71075754904134e-06, 6.45140791254426e-06,
    7.24753316730549e-06, 9.35056151457253e-06, 1.82363017611285e-05,
    2.12581586552987e-05, 2.64595699068908e-05, 4.6597469821752e-05,
    4.98198842682016e-05, 5.86295484109718e-05, 6.59505467033765e-05,
    6.71006092262041e-05, 8.27242543053842e-05, 8.27242543053842e-05,
    0.000102133011360742, 0.000109511832045221, 0.000175058514276467,
    0.000205413654442725, 0.000215845947445732, 0.000232375497865294,
    0.000236530569745578, 0.000338442402119131, 0.000344416946902365,
    0.00044762418175375, 0.000658522224736057, 0.000757737534476384,
    0.000924281689018714, 0.00100528665146015, 0.00114158728368298,
    0.00129713659363109, 0.00131073220440479, 0.00136542987628312,
    0.0016553337724271, 0.00166948746454826, 0.00178167130805164,
    0.00196426861327604, 0.0020126582603898, 0.00214042165482919,
    0.00291285853648065, 0.00294281377768277, 0.00327663038411591,
    0.00404525748180097, 0.00449788928365623, 0.00572341331925352,
    0.00589378445647386, 0.00625726824107716, 0.00625726824107716,
    0.00641503331582338, 0.00691587827136818, 0.00781931768845344,
    0.00883579886127475, 0.009346830256011, 0.00997004944586512,
    0.010139823838978, 0.0101584613812224, 0.0113844225419134, 0.0116211177369716,
    0.0124479514107009, 0.0126307614009921, 0.012807459985889, 0.0129097982237041,
    0.0139636029694454, 0.0150610008654792, 0.0158118660309634, 0.0169202250874646,
    0.0171581255299372, 0.0196032085763412, 0.023734304276094, 0.0243316079126903,
    0.024441130887625, 0.0250695949192783, 0.0260230627682392, 0.0265707745450152,
    0.0270073104121899, 0.0270339505868963, 0.0279120717681144, 0.0322880337901534,
    0.0322880337901534, 0.0326545981663725, 0.0330235903735304, 0.0394786019607892,
    0.0422506670938151, 0.0437250057329596, 0.0471659234075508),
     highest_p = c(3.72591910672007e-09, 2.93949724616913e-08,
     4.92717296729257e-08, 1.28289156237523e-07, 1.62415289270518e-07,
     1.92608750448286e-07, 3.0479796456821e-07, 4.02595397922357e-07,
     1.14447189315402e-06, 5.76121834919795e-06, 5.31871678159313e-06,
     0.04445252310252, 8.77036377485396e-05, 7.24753316730549e-06,
     9.35056151457253e-06, 1.82363017611285e-05, 2.12581586552987e-05,
     3.94124597336792e-05, 4.6597469821752e-05, 4.98198842682016e-05,
     5.86295484109718e-05, 6.59505467033765e-05, 6.71006092262041e-05,
     0.00623864913557161, 8.27242543053842e-05, 0.000102133011360742,
     0.000109511832045221, 0.000175058514276467, 0.0144750415597275,
     0.0186456333567655, 0.000232375497865294, 0.000236530569745578,
     0.000338442402119131, 0.000344416946902365, 0.00044762418175375,
     0.000658522224736057, 0.000757737534476384, 0.000924281689018714,
     0.00100528665146015, 0.00114158728368298, 0.00129713659363109,
     0.00131073220440479, 0.00136542987628312, 0.0016553337724271,
     0.00166948746454826, 0.00178167130805164, 0.00196426861327604,
     0.0020126582603898, 0.0133520797306269, 0.00291285853648065,
     0.00294281377768277, 0.00327663038411591, 0.00404525748180097,
     0.00449788928365623, 0.00572341331925352, 0.00589378445647386,
     0.00625726824107716, 0.00625726824107716, 0.00641503331582338,
     0.00691587827136818, 0.00974450545949028, 0.0141469829627025,
     0.009346830256011, 0.0105816450407373, 0.010139823838978,
     0.0101584613812224, 0.0113844225419134, 0.0148055259648584,
     0.0124479514107009, 0.0157319487193053, 0.012807459985889,
     0.0129097982237041, 0.0139636029694454, 0.0150610008654792,
     0.0462523689572709, 0.0169202250874646, 0.0171581255299372,
     0.0277467995144712, 0.023734304276094, 0.0243316079126903,
     0.024441130887625, 0.0250695949192783, 0.0260230627682392,
     0.0287963127813091, 0.0270073104121899, 0.0270339505868963,
     0.0279120717681144, 0.0322880337901534, 0.0322880337901534,
     0.0326545981663725, 0.0367472194111895, 0.0394786019607892,
     0.0422506670938151, 0.0437250057329596, 0.0471659234075508
     ), Up_regulated = c("SF3B6, LSM3, BUD31", "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C, ATP6V1D, ATP6V0E1",
     "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C", "DDIT3, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "POLE4", "GAPDH, RTN3, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "LY96", "AP2B1, NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C",
     "NDUFA1, NDUFB3, UQCRQ, COX6A1, COX7A2, COX7C", "", "MRPS18C, RPS24, MRPL33, RPL26, RPL31, RPL39",
     "", "NUP214", "GSTO1, TXN, MMP9", "MYL6B, MYL6", "", "",
     "", "", "STX6, STX10", "HK3", "UQCRQ, COX6A1, COX7A2, COX7C",
     "", "MMP9, DDIT3", "GSTO1", "DDIT3", "GTF2B", "", "TLR5",
     "PPP2R3C", "", "", "HK3, GAPDH", "TLR5, GAPDH", "", "", "",
     "IGBP1, RRAGD", "", "", "ATP6V1D, RRAGD", "", "", "", "MMP9",
     "GTF2H5, POLE4", "", "", "", "CAMP, TXN", "CLEC4D", "ATP6V1D, ATP6V0E1, TLR6, NCF4",
     "POLE4", "", "PPP2R3C", "", "", "HK3", "MYL6B, MYL6", "",
     "", "", "", "ATP6V1D, ATP6V0E1", "LY96", "MMP9", "", "",
     "", "", "", "", "", "", "", "", "", "", "TLR6", "MYL6B, MYL6",
     "TLR6, LY96, TLR5", "ARG1", "TLR6, CAMP", "", "CKAP4, DDIT3",
     "", "S100A8, S100A9, MMP9", "", "AP2B1, ATP6V1D, ATP6V0E1",
     "", "", "NCF4, MMP9", "TRIP12", "", ""), Down_regulated = c("SNRPB, SF3B2, U2AF2, PUF60, DDX23, EIF4A3, HNRNPA1, PCBP1, SRSF8, SRSF5",
     "ATP6V0E2", "UBE2G1, VDAC1, SLC25A5", "IKBKB, FASLG", "MUTYH, APEX2, POLD2, PARP1",
     "CALM3, CALM1, ATP2A2", "PRKCQ, CARD11, TICAM1, IKBKB, UBE2I, CSNK2A2, PARP1",
     "SIN3A, HDAC1, TAF4, CREB1, VDAC1, SLC25A5", "ADCY7, CREB1, KDM1A, SMARCA4, ACTB, ACTG1, ARID1A, MTOR",
     "MTOR, JAK1, HLA-DPA1, NFATC3, PRKCQ, IKBKB, GATA3, IL27RA, IL2RB",
     "RPLP2", "MLH1, RPA1, POLD2", "NUP62, NUP93, RANGAP1, UBE2I, SUMO3, GEMIN4, EIF2S3, EIF2B1, EIF4A3, RNPS1, SRRM1",
     "CALM3, CALM1, KLF2, ACTB, ACTG1, IKBKB, SUMO3", "EEF2K, EEF2, CALM3, CALM1, NFATC3, ACTB, ACTG1, ADCY7",
     "SH2B3, CRKL, FASLG, CALM3, CALM1, ABL1, MAGED1, IRAK2, IKBKB",
     "TICAM1, JAK1, ZFP36, IKBKB, GNB1, MTOR, CALM3, CALM1, NFATC3, CREB1",
     "IL2RB, IL10RA, IL27RA, JAK1, PIAS3, MTOR", "MTOR, IKBKB, PRKCQ, CREB1",
     "STX2, BET1L, SNAP23", "PDHA1, PDHB, MTOR", "ATP2A2", "MTOR, IKBKB, GNB1, CALM3, CALM1, NFATC3, ADCY7, JAK1, CREB1, CRKL, IL10RA, FASLG",
     "HDAC1, SIN3A, BCL11B, SLC45A3, EWSR1, IL2RB, TAF15, ASPSCR1",
     "MTOR, ACTB, ACTG1, ARID1A, SMARCA4, BRD7", "FASLG, ACTB, ACTG1, PARP1, DFFB, IKBKB",
     "CREB1, JAK1, SCRIB, RBL2, HDAC1, DNAJA3, SRF", "ITGB1, ABL1, CRKL, ACTB, ACTG1, PFN1, IKBKB",
     "ACTB, ACTG1, DYNC1H1, PFN1", "EIF4A3, RNPS1, SRRM1, WDR33, DAZAP1",
     "MTOR, IKBKB, PRKCQ", "MTOR, IKBKB, JAK1, NFATC3, TICAM1, CSNK2A2, PRKCQ",
     "MTOR, PDHA1, PDHB", "ARF1, ACTB, ACTG1, SLC9A3R1, TUBB, ABL1, ITGB1, IKBKB, FASLG",
     "TRRAP, NFATC3, IL2RB, JAK1, VDAC1, SLC25A5, ANAPC1, IKBKB, ZFP36, ADCY7, HLA-DPA1, SRF, ETS1, CREB1",
     "RBL2, ABL1, HDAC1, CDKN1C, ANAPC1", "IKBKB, TICAM1, JAK1, HLA-DPA1, FASLG, VDAC1, SLC25A5, ACTB, ACTG1",
     "MTOR, PIK3R4, UVRAG, PRKCQ", "ITGB1, CRKL, ACTB, ACTG1, IKBKB, TICAM1, LCP2, NFATC3",
     "PSMD7, PSMB10", "WDR59, MTOR, TELO2, IKBKB, LPIN1", "CRKL, MTOR, CALM3, CALM1, NFATC3, GNB1, CFL1, IKBKB, FASLG",
     "LCP2, NFATC3, PRKCQ, CARD11, IKBKB", "HDAC1, GNB1, CREB1, CALM3, CALM1",
     "CREB1, IKBKB, MTOR", "XPC, RPA1, POLD2", "CREB1, CALM3, CALM1, PDHA1, PDHB",
     "MDH2, PDHA1, PDHB", "CRKL, ACTB, ACTG1, ITGB1", "IKBKB, VDAC1, JAK1, TICAM1",
     "CALM3, CALM1, NFATC3, IKBKB, IRF1", "ACTB, ACTG1, HLA-DPA1, ATP6V0E2, DYNC1H1, TUBB, ITGB1",
     "RPA1, POLD2", "PDHA1, PDHB, ALDH9A1, MDH2", "CALM3, CALM1, CREB1, GNB1, COMT",
     "ADCY7, ATP2A2, STIM2, VDAC1, SLC25A5, CALM3, CALM1", "ADCY7, GNB1, CALM3, CALM1, MTOR, PIK3R4, KLF2",
     "CALM3, CALM1, CRKL, MTOR, IKBKB", "CALM3, CALM1, PRKCH, PRKCQ, ADCY7",
     "ITGB1, ACTB, ACTG1, ATP2A2", "IKBKB, RALGDS, MTOR, JAK1",
     "ITGB1, ACTB, ACTG1, CRKL", "CALM3, CALM1, ADCY7, CRKL, LCP2, RALGDS, PFN1, EVL, ACTB, ACTG1, ITGB1",
     "ATP6V0E2, PDIA4, ARF1, ACTB, ACTG1", "ITGB1, CALM3, CALM1, CFL1, TICAM1, IRF1",
     "ACTB, ACTG1, MTOR, FASLG, ITGB1", "ITGB1, ACTB, ACTG1, ATP2A2",
     "ITGB1, CRKL, ACTB, ACTG1, PFN1, CFL1", "HLA-DPA1, IKBKB, JAK1, PSMD7, SIN3A, HDAC1, RUNX3",
     "JAK1, RUNX3, HLA-DPA1, NFATC3, PRKCQ, IKBKB, IL2RB, GATA3",
     "CALM3, CALM1, ADCY7, ACTB", "CALM3, CALM1, CREB1, HDAC1",
     "ITGB1, ACTB, ACTG1, ADCY7, ATP2A2", "ABL1, CRKL, IKBKB, HDAC1",
     "GNB1, CALM3, CALM1, RASA3, RASAL3, IKBKB, FASLG, ETS1, RALGDS, ABL1",
     "TELO2, MLH1, RPA1", "IKBKB, MTOR", "CRKL, ABL1, MTOR", "TICAM1, IKBKB, FASLG",
     "ARHGAP17, SCRIB, TJAP1, SLC9A3R1, ACTB, ACTG1, ITGB1", "IKBKB, TICAM1",
     "CKB, ALDH9A1, CNDP2, PYCR2, GOT1", "JAK1, CREB1, HLA-DPA1, CD74, IL10RA, IRAK2, CALM3, CALM1",
     "SIN3A, HDAC1, MED24, ATP2A2, MTOR, ACTB, ACTG1", "DDOST, EDEM1, PDIA4, UBE2G1",
     "NFATC3, CARD11, IKBKB, CD81", "IKBKB", "CALM3, CALM1, MTOR",
     "STX2, ATP6V0E2", "ACTB, ACTG1, CSNK2A2", "ABL1, ACTB, ACTG1, HLA-DPA1",
     "ITGB1, ACTB, ACTG1", "UBE2G1, UBE2I, HERC1, PIAS3, ANAPC1",
     "CD81, TICAM1, IKBKB, JAK1, FASLG", "IKBKB, CSNK2A2, JAK1, RAB9A, FASLG, IL2RB"
     )), use_description = FALSE)
     --- call from argument ---
    if (class(clu_obj) == "matrix") {
     if (!all(rownames(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 < kappa_threshold, 0, kappa_mat2)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- rownames(clu_obj)[!rownames(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     values <- apply(clu_obj, 1, function(x) which(x))
     percs <- list()
     for (i in base::seq_len(length(values))) {
     percs[[i]] <- rep(1/length(values[[i]]), length(values[[i]]))
     }
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     if (length(all_cols) < max(as.integer(colnames(clu_obj)))) {
     num_extra <- max(as.integer(colnames(clu_obj))) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$shape <- ifelse(vapply(percs, length, 1) > 1,
     "pie", "circle")
     cols <- lapply(values, function(x) all_cols[x])
     igraph::V(g)$color <- vapply(cols, function(x) x[1], "")
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, vertex.pie = percs, vertex.pie.color = cols,
     layout = igraph::layout_nicely(g), edge.curved = FALSE,
     vertex.label.dist = 0, vertex.label.color = "black",
     asp = 1, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
    } else if (class(clu_obj) == "integer") {
     if (!all(names(clu_obj) %in% colnames(kappa_mat))) {
     stop("Not all terms in `clu_obj` present in `kappa_mat`!")
     }
     kappa_mat2 <- kappa_mat
     diag(kappa_mat2) <- 0
     kappa_mat2 <- ifelse(kappa_mat2 > kappa_threshold, kappa_mat2,
     0)
     missing <- names(clu_obj)[!names(clu_obj) %in% colnames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = nrow(kappa_mat2), ncol = length(missing),
     dimnames = list(rownames(kappa_mat2), missing))
     kappa_mat2 <- cbind(kappa_mat2, missing_mat)
     missing <- names(clu_obj)[!names(clu_obj) %in% rownames(kappa_mat2)]
     missing_mat <- matrix(0, nrow = length(missing), ncol = ncol(kappa_mat2),
     dimnames = list(missing, colnames(kappa_mat2)))
     kappa_mat2 <- rbind(kappa_mat2, missing_mat)
     g <- igraph::graph_from_adjacency_matrix(kappa_mat2, weighted = TRUE)
     igraph::V(g)$Clu <- clu_obj[match(igraph::V(g)$name, names(clu_obj))]
     if (length(all_cols) < max(as.integer(igraph::V(g)$Clu))) {
     num_extra <- max(clu_obj) - length(all_cols)
     extra_colors <- grDevices::rainbow(num_extra)
     all_cols <- c(all_cols, extra_colors)
     }
     igraph::V(g)$color <- all_cols[as.integer(igraph::V(g)$Clu)]
     p_idx <- match(names(igraph::V(g)), enrichment_res[, chosen_id])
     transformed_p <- -log10(enrichment_res$lowest_p[p_idx])
     igraph::V(g)$size <- transformed_p * 2.5
     igraph::plot.igraph(g, layout = igraph::layout_nicely(g),
     edge.curved = FALSE, vertex.label.dist = 0, vertex.label.color = "black",
     asp = 0, vertex.label.cex = 0.7, edge.width = igraph::E(g)$weight,
     edge.arrow.mode = 0)
    } else {
     stop("Invalid class for `clu_obj`!")
    }
     --- R stacktrace ---
    where 1: cluster_graph_vis(clu_obj = c(FALSE, TRUE, TRUE, TRUE, FALSE,
    TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE,
    TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
    FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, F