Package: GSEAlm 1.67.0

Assaf Oron

GSEAlm: Linear Model Toolset for Gene Set Enrichment Analysis

Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.

Authors:Assaf Oron, Robert Gentleman

GSEAlm_1.67.0.tar.gz
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GSEAlm.pdf |GSEAlm.html
GSEAlm/json (API)

# Install 'GSEAlm' in R:
install.packages('GSEAlm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:GSEAlm-1.65.0(bioc 3.20)GSEAlm-1.64.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarray

3.30 score 8 scripts 306 downloads 13 exports 2 dependencies

Last updated 23 days agofrom:dc2aaa785f. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:CooksDPerGenedfbetasPerGenedffitsPerGenegetResidPerGenegsealmPermGSNormalizeidentityLeveragelmPerGenemnDiffPlotoneresplotrestrip

Dependencies:BiobaseBiocGenerics

Linear models in GSEA

Rendered fromGSEAlm.Rnwusingutils::Sweaveon Oct 30 2024.

Last update: 2013-11-01
Started: 2013-11-01