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

   

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see mgsa.

Model-based gene set analysis

Bioconductor version: 2.10

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 <Sebastian.Bauer at charite.de>, Julien Gagneur <julien.gagneur at embl.de>

Maintainer: Sebastian Bauer <Sebastian.Bauer at charite.de>

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 Overview of the mgsa package.
PDF   Reference Manual

Details

biocViews GO, Pathways, Software
Version 1.4.0
In Bioconductor since BioC 2.8 (R-2.13) (5 years)
License Artistic-2.0
Depends R (>= 2.9.0), methods, gplots
Imports gplots, graphics, stats, utils
LinkingTo
Suggests DBI, RSQLite, GO.db
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source mgsa_1.4.0.tar.gz
Windows Binary mgsa_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/mgsa/tree/release-2.10
Package Short Url http://bioconductor.org/packages/mgsa/
Package Downloads Report Download Stats

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