mgsa (original) (raw)

This is the released version of mgsa; for the devel version, seemgsa.

Model-based gene set analysis

Bioconductor version: Release (3.20)

Model-based Gene Set Analysis (MGSA) is a Bayesian modeling approach for gene set enrichment. The package mgsa implements MGSA and tools to use MGSA together with the Gene Ontology.

Author: Sebastian Bauer , Julien Gagneur

Maintainer: Sebastian Bauer

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

Installation

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


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

BiocManager::install("mgsa")

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("mgsa")

Details

biocViews GO, GeneSetEnrichment, Pathways, Software
Version 1.54.0
In Bioconductor since BioC 2.8 (R-2.13) (13.5 years)
License Artistic-2.0
Depends R (>= 2.14.0), methods, gplots
Imports graphics, stats, utils
System Requirements
URL https://github.com/sba1/mgsa-bioc

See More

Suggests DBI, RSQLite, GO.db, testthat
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Package Archives

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

Source Package mgsa_1.54.0.tar.gz
Windows Binary (x86_64) mgsa_1.54.0.zip (64-bit only)
macOS Binary (x86_64) mgsa_1.54.0.tgz
macOS Binary (arm64) mgsa_1.54.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mgsa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mgsa
Bioc Package Browser https://code.bioconductor.org/browse/mgsa/
Package Short Url https://bioconductor.org/packages/mgsa/
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