Contains functions for identification of copy number signatures (Geoffrey et al. (2018) <doi:10.1038/s41588-018-0179-8>) and mutation signatures (Alexandrov et al. (2018) <doi:10.1038/nature12477>) by non-negative matrix factorization, signature analysis and visualization. It can be used to capture signatures of genomic variation, compare genotype or phenotype features of different signatures and thus uncover the relationship between the mechanism of genomic variation and phenotypes in cancer.
Version: | 0.1.9 |
Depends: | R (≥ 3.5) |
Imports: | cluster, corrplot, cowplot, data.table, doParallel, dplyr, flexmix, foreach, ggplot2, maftools, methods, NMF, RColorBrewer, tidyr, magrittr, purrr |
Suggests: | BSgenome.Hsapiens.UCSC.hg19, cowsay, ggpubr, knitr, rmarkdown, covr, testthat, prettydoc, pheatmap |
Published: | 2019-04-25 |
Author: | Shixiang Wang |
Maintainer: | Shixiang Wang <w_shixiang at 163.com> |
BugReports: | https://github.com/ShixiangWang/sigminer/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/ShixiangWang/sigminer |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | sigminer results |
Reference manual: | sigminer.pdf |
Vignettes: |
Usage documentation |
Package source: | sigminer_0.1.9.tar.gz |
Windows binaries: | r-devel: sigminer_0.1.9.zip, r-release: sigminer_0.1.9.zip, r-oldrel: sigminer_0.1.9.zip |
OS X binaries: | r-release: not available, r-oldrel: not available |
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