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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 |
| 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 results |
| Reference manual: | TcGSA.pdf |
| Vignettes: |
TcGSA_userguide |
| Package source: | TcGSA_0.12.10.tar.gz |
| Windows binaries: | r-devel: TcGSA_0.12.10.zip, r-release: TcGSA_0.12.10.zip, r-oldrel: TcGSA_0.12.10.zip |
| macOS binaries: | r-release (arm64): TcGSA_0.12.10.tgz, r-oldrel (arm64): TcGSA_0.12.10.tgz, r-release (x86_64): TcGSA_0.12.10.tgz, r-oldrel (x86_64): TcGSA_0.12.10.tgz |
| Old sources: | TcGSA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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