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

DOI: 10.18129/B9.bioc.mogsa    

Multiple omics data integrative clustering and gene set analysis

Bioconductor version: Release (3.6)

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("mogsa")

 

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

Details

biocViews Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod
Version 1.11.0
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
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  

Package Archives

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

Source Package mogsa_1.11.0.tar.gz
Windows Binary mogsa_1.11.0.zip
Mac OS X 10.11 (El Capitan) mogsa_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mogsa
Package Short Url http://bioconductor.org/packages/mogsa/
Package Downloads Report Download Stats

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