GSEAlm
Linear Model Toolset for Gene Set Enrichment Analysis
Bioconductor version: Release (3.20)
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 | R Script | |
| Reference Manual |
Details
| biocViews | Microarray, Software |
| Version | 1.66.0 |
| 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 | |
| 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_1.66.0.tar.gz |
| Windows Binary (x86_64) | GSEAlm_1.66.0.zip |
| macOS Binary (x86_64) | GSEAlm_1.66.0.tgz |
| macOS Binary (arm64) | GSEAlm_1.66.0.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 |