Implementation of Time-course Gene Set Analysis (TcGSA), a method for analyzing longitudinal gene-expression data at the gene set level. Method isdetailed in: Hejblum, Skinner & Thiebaut (2015) <doi:10.1371/journal.pcbi.1004310>.
| Version: | 0.12.13 |
| 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: | 2025-07-22 |
| 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 | fileLICENSE |
| URL: | http://sistm.github.io/TcGSA/ |
| NeedsCompilation: | no |
| Citation: | TcGSA citation info |
| Materials: | README,NEWS |
| In views: | Omics |
| CRAN checks: | TcGSA results |