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.
This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see mgsa.
Bioconductor version: 2.8
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported 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")
mgsa.pdf | ||
Reference Manual |
biocViews | GO, Pathways, Software |
Version | 1.0.0 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | mgsa_1.0.0.tar.gz |
Windows Binary | mgsa_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/mgsa/tree/release-2.8 |
Package Short Url | http://bioconductor.org/packages/mgsa/ |
Package Downloads Report | Download Stats |
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