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: 0.12.10 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, dearseq, knitr, GEOquery, rmarkdown Published: 2022-02-28 DOI: 10.32614/CRAN.package.TcGSA 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/sistm/TcGSA/issues License: GPL-2 | file LICENSE URL: http://sistm.github.io/TcGSA/ NeedsCompilation: no Citation: TcGSA citation info Materials: README NEWS In views: Omics CRAN checks: TcGSA resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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