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:Boris P Hejblum [aut, cre], Damien Chimits [aut], Anthony Devaux [aut]

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-4.4-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'))

Peer review:

Bug tracker:https://github.com/sistm/tcgsa/issues

Datasets:

On CRAN:

15 exports 4 stars 1.92 score 46 dependencies 4 mentions 337 downloads

Last updated 3 years agofrom:5144ba795d. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winNOTESep 04 2024
R-4.5-linuxNOTESep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:clustTrenddchisqmixmulttest.TcGSApchisqmixplot1GSplotFit.GSplotMultipleGSplotPat.1GSplotPat.TcGSAplotSelect.GSqchisqmixrchisqmixsignifLRT.TcGSATcGSA.LRTcGSA.LR.parallel

Dependencies:BiobaseBiocGenericsbootcliclustercolorspacecowplotfansifarverggplot2glueGSAgtablegtoolsisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamulttestmunsellnlmenloptrpillarpkgconfigplyrR6RColorBrewerRcppRcppEigenreshape2rlangscalesstringistringrsurvivaltibbleutf8vctrsviridisLitewithr

User guide to the TcGSA R package

Anthony Devaux, Boris Hejblum

Rendered fromTcGSA_userguide.Rmdusingknitr::rmarkdownon Sep 04 2024.

Last update: 2022-02-28
Started: 2017-07-27