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>

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	1.12.2
In Bioconductor since	BioC 3.1 (R-3.2) (3 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_1.12.2.tar.gz
Windows Binary	mogsa_1.12.2.zip
Mac OS X 10.11 (El Capitan)	mogsa_1.12.2.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mogsa
Package Short Url	http://bioconductor.org/packages/mogsa/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive