To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mgsa")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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 | 1.10.0 | 
| In Bioconductor since | BioC 2.8 (R-2.13) | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.14.0), methods, gplots | 
| Imports | graphics, stats, utils | 
| Suggests | DBI, RSQLite, GO.db | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | gCMAP | 
Follow Installation instructions to use this package in your R session.
| Package Source | mgsa_1.10.0.tar.gz | 
| Windows Binary | mgsa_1.10.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | mgsa_1.10.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
  Common Bioconductor workflows include:
 
  
  Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!