Registration and Call for Abstracts Open for Bioc2024

GSEAlm

Linear Model Toolset for Gene Set Enrichment Analysis


Bioconductor version: Release (3.18)

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 "4.3") 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 1.62.0
In Bioconductor since BioC 2.2 (R-2.7) (16 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
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package GSEAlm_1.62.0.tar.gz
Windows Binary GSEAlm_1.62.0.zip (64-bit only)
macOS Binary (x86_64) GSEAlm_1.62.0.tgz
macOS Binary (arm64) GSEAlm_1.62.0.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/
Package Downloads Report Download Stats