Implementation of Time-course Gene Set Analysis (TcGSA), a method for analyzing longitudinal gene-expression data at the gene set level. Method is detailed in: Hejblum, Skinner & Thiebaut (2015) <doi:10.1371/journal.pcbi.1004310>.
Version: | 0.12.7 |
Depends: | R (≥ 3.0.2), ggplot2 (≥ 2.0.0) |
Imports: | lme4 (≥ 1.0-4), reshape2, GSA, multtest, cluster, cowplot, graphics, grDevices, gtools, stringr, splines, stats, utils |
Suggests: | BiocManager, foreach, parallel, doParallel, tcgsaseq, knitr, GEOquery, rmarkdown |
Published: | 2020-01-23 |
Author: | Boris P Hejblum [aut, cre], Damien Chimits [aut], Anthony Devaux [aut] |
Maintainer: | Boris P Hejblum <boris.hejblum at u-bordeaux.fr> |
BugReports: | https://github.com/borishejblum/TcGSA/issues |
License: | GPL-2 | file LICENSE |
NeedsCompilation: | no |
Citation: | TcGSA citation info |
Materials: | README NEWS |
CRAN checks: | TcGSA results |
Reference manual: | TcGSA.pdf |
Vignettes: |
TcGSA_userguide |
Package source: | TcGSA_0.12.7.tar.gz |
Windows binaries: | r-devel: TcGSA_0.12.7.zip, r-release: TcGSA_0.12.7.zip, r-oldrel: TcGSA_0.12.7.zip |
macOS binaries: | r-release: TcGSA_0.12.7.tgz, r-oldrel: TcGSA_0.12.7.tgz |
Old sources: | TcGSA archive |
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