To install this package, start R and enter:

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

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

mogsa

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see mogsa.

Multiple omics data integration and gene set analysis

Bioconductor version: 3.2

This package provide a method for doing gene set analysis based on multiple omics data.

Author: Chen Meng

Maintainer: Chen Meng <mengchen18 at gmail.com>

Citation (from within R, enter citation("mogsa")):

To install this package, start R and enter:

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

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

browseVignettes("mogsa")

PDF		mogsa: gene set analysis on multiple omics data
PDF		mogsa: gene set analysis on multiple omics data
PDF		Reference Manual
Text		NEWS

biocViews	GeneExpression, PrincipalComponent, Software, StatisticalMethod
Version	1.2.1
In Bioconductor since	BioC 3.1 (R-3.2) (1 year)
License	GPL-2
Depends	R (>= 3.2.0)
Imports	methods, graphite, genefilter, BiocGenerics, gplots, GSEABase, Biobase, parallel, corpcor, svd, cluster
LinkingTo
Suggests	BiocStyle, knitr
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	mogsa_1.2.1.tar.gz
Windows Binary	mogsa_1.2.1.zip
Mac OS X 10.6 (Snow Leopard)	mogsa_1.2.0.tgz
Mac OS X 10.9 (Mavericks)	mogsa_1.2.1.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/mogsa/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/mogsa/
Package Downloads Report	Download Stats

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