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mgsa

This is the development version of mgsa; for the stable release version, see mgsa.

Model-based gene set analysis

Bioconductor version: Development (3.18)

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 <mail at sebastianbauer.info>, Julien Gagneur <gagneur at genzentrum.lmu.de>

Maintainer: Sebastian Bauer <mail at sebastianbauer.info>

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

Installation

To install this package, start R (version "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Overview of the mgsa package. PDF R Script
Reference Manual PDF

Details

biocViews GO, GeneSetEnrichment, Pathways, Software
Version 1.49.0
In Bioconductor since BioC 2.8 (R-2.13) (12.5 years)
License Artistic-2.0
Depends R (>= 2.14.0), methods, gplots
Imports graphics, stats, utils
Linking To
Suggests DBI, RSQLite, GO.db, testthat
System Requirements
Enhances
URL https://github.com/sba1/mgsa-bioc
See More
Depends On Me
Imports Me
Suggests Me pareg
Links To Me
Build Report  

Package Archives

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

Source Package mgsa_1.49.0.tar.gz
Windows Binary mgsa_1.49.0.zip
macOS Binary (x86_64) mgsa_1.49.0.tgz
macOS Binary (arm64) mgsa_1.49.0.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/
Package Downloads Report Download Stats