GSEAlm

Linear Model Toolset for Gene Set Enrichment Analysis


Bioconductor version: Release (3.19)

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

Author: Assaf Oron, Robert Gentleman (with contributions from S. Falcon and Z. Jiang)

Maintainer: Assaf Oron <assaf at uw.edu>

Citation (from within R, enter citation("GSEAlm")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GSEAlm")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSEAlm")
Linear models in GSEA PDF R Script
Reference Manual PDF

Details

biocViews Microarray, Software
Version 1.64.0
In Bioconductor since BioC 2.2 (R-2.7) (16.5 years)
License Artistic-2.0
Depends Biobase
Imports
System Requirements
URL
See More
Suggests GSEABase, Category, multtest, ALL, annotate, hgu95av2.db, genefilter, GOstats, RColorBrewer
Linking To
Enhances
Depends On Me
Imports Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSEAlm_1.64.0.tar.gz
Windows Binary (x86_64) GSEAlm_1.64.0.zip
macOS Binary (x86_64) GSEAlm_1.64.0.tgz
macOS Binary (arm64) GSEAlm_1.64.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GSEAlm
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GSEAlm
Bioc Package Browser https://code.bioconductor.org/browse/GSEAlm/
Package Short Url https://bioconductor.org/packages/GSEAlm/
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