Package: TcGSA 0.12.10
Boris P Hejblum
TcGSA: Time-Course Gene Set Analysis
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>.
Authors:
TcGSA_0.12.10.tar.gz
TcGSA_0.12.10.zip(r-4.5)TcGSA_0.12.10.zip(r-4.4)TcGSA_0.12.10.zip(r-4.3)
TcGSA_0.12.10.tgz(r-4.5-any)TcGSA_0.12.10.tgz(r-4.4-any)TcGSA_0.12.10.tgz(r-4.3-any)
TcGSA_0.12.10.tar.gz(r-4.5-noble)TcGSA_0.12.10.tar.gz(r-4.4-noble)
TcGSA_0.12.10.tgz(r-4.4-emscripten)TcGSA_0.12.10.tgz(r-4.3-emscripten)
TcGSA.pdf |TcGSA.html✨
TcGSA/json (API)
NEWS
| # Install 'TcGSA' in R: |
| install.packages('TcGSA', repos = c('https://sistm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sistm/tcgsa/issues
Pkgdown site:https://sistm.github.io
Last updated 3 years agofrom:5144ba795d. Checks:5 OK, 3 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 01 2025 |
| R-4.5-win | NOTE | Feb 01 2025 |
| R-4.5-mac | NOTE | Feb 01 2025 |
| R-4.5-linux | NOTE | Feb 01 2025 |
| R-4.4-win | OK | Feb 01 2025 |
| R-4.4-mac | OK | Feb 01 2025 |
| R-4.3-win | OK | Dec 03 2024 |
| R-4.3-mac | OK | Dec 03 2024 |
Exports:clustTrenddchisqmixmulttest.TcGSApchisqmixplot1GSplotFit.GSplotMultipleGSplotPat.1GSplotPat.TcGSAplotSelect.GSqchisqmixrchisqmixsignifLRT.TcGSATcGSA.LRTcGSA.LR.parallel
Dependencies:BiobaseBiocGenericsbootcliclustercolorspacecowplotfansifarvergenericsggplot2glueGSAgtablegtoolsisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamulttestmunsellnlmenloptrpillarpkgconfigplyrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasreshape2rlangscalesstringistringrsurvivaltibbleutf8vctrsviridisLitewithr
