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 (3.5)

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

Version 1.10.0
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
License GPL-2
Depends R (>= 3.2.0)
LinkingTo
Suggests BiocStyle, knitr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Source Package mogsa_1.10.0.tar.gz
Windows Binary mogsa_1.10.0.zip
Mac OS X 10.11 (El Capitan) mogsa_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mogsa
Package Downloads Report Download Stats

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