To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("mgsa")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
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")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("mgsa")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mgsa")
R Script | Overview of the mgsa package. | |
Reference Manual |
biocViews | GO, GeneSetEnrichment, Pathways, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (4.5 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 |
Follow Installation instructions to use this package in your R session.
Package Source | mgsa_1.16.0.tar.gz |
Windows Binary | mgsa_1.16.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | mgsa_1.16.0.tgz |
Mac OS X 10.9 (Mavericks) | mgsa_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/mgsa/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/mgsa/ |
Package Downloads Report | Download Stats |
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