To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mgsa")

In most cases, you don't need to download the package archive at all.

mgsa

DOI: 10.18129/B9.bioc.mgsa

Model-based gene set analysis

Bioconductor version: Release (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mgsa")

Documentation

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

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

Details

biocViews GO, GeneSetEnrichment, Pathways, Software
Version 1.24.0
In Bioconductor since BioC 2.8 (R-2.13) (6.5 years)
License Artistic-2.0
Depends R (>= 2.14.0), methods, gplots
Imports graphics, stats, utils
LinkingTo
Suggests DBI, RSQLite, GO.db, testthat
SystemRequirements
Enhances
URL https://github.com/sba1/mgsa-bioc
Depends On Me
Imports Me
Suggests Me gCMAP
Build Report

Package Archives

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

Source Package mgsa_1.24.0.tar.gz
Windows Binary mgsa_1.24.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) mgsa_1.24.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mgsa
Package Short Url http://bioconductor.org/packages/mgsa/
Package Downloads Report Download Stats

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