lilikoi: Metabolomics Personalized Pathway Analysis Tool

A comprehensive analysis tool for metabolomics data. It consists a variety of functional modules, including several new modules: a pre-processing module for normalization and imputation, an exploratory data analysis module for dimension reduction and source of variation analysis, a classification module with the new deep-learning method and other machine-learning methods, a prognosis module with cox-PH and neural-network based Cox-nnet methods, and pathway analysis module to visualize the pathway and interpret metabolite-pathway relationships. References: H. Paul Benton <> Jeff Xia <> Travers Ching, Xun Zhu, Lana X. Garmire (2018) <doi:10.1371/journal.pcbi.1006076>.

Version: 2.0.4
Depends: R (≥ 3.5.0)
Imports: car, caret, dplyr, gbm, ggplot2, glmnet, h2o, impute, infotheo, limma, M3C, Metrics, MLmetrics, parallel, pathifier, pathview, plyr, preprocessCore, pROC, RCy3, reticulate, reshape, RWeka, scales, stats, stringr, survminer, survival
Suggests: knitr, rmarkdown
Published: 2021-01-15
Author: Xinying Fang [aut], Yu Liu [aut], Zhijie Ren [aut], Fadhl Alakwaa [aut], Sijia Huang [aut], Lana Garmire [aut, cre]
Maintainer: Lana Garmire < at>
License: GPL-2
NeedsCompilation: no
Citation: lilikoi citation info
Materials: README NEWS
CRAN checks: lilikoi results


Reference manual: lilikoi.pdf
Vignettes: Lilikoi V2.0
Package source: lilikoi_2.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: not available, r-oldrel: not available
Old sources: lilikoi archive


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