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-1.67.0(bioc 3.21)GSEAlm-1.66.0(bioc 3.20)

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

microarray

4.08 score 8 scripts 324 downloads 6 mentions 13 exports 3 dependencies

Last updated 2 months agofrom:dc2aaa785f. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winNOTENov 29 2024
R-4.4-macNOTENov 29 2024
R-4.3-winNOTENov 29 2024
R-4.3-macNOTENov 29 2024

Exports:CooksDPerGenedfbetasPerGenedffitsPerGenegetResidPerGenegsealmPermGSNormalizeidentityLeveragelmPerGenemnDiffPlotoneresplotrestrip

Dependencies:BiobaseBiocGenericsgenerics

Linear models in GSEA

Rendered fromGSEAlm.Rnwusingutils::Sweaveon Nov 29 2024.

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