mogsa

DOI: 10.18129/B9.bioc.mogsa    

Multiple omics data integrative clustering and gene set analysis

Bioconductor version: Release (3.13)

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 (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("mogsa")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("mogsa")

 

PDF	R Script	moCluster: Integrative clustering using 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	1.26.0
In Bioconductor since	BioC 3.1 (R-3.2) (6.5 years)
License	GPL-2
Depends	R (>= 3.4.0)
Imports	methods, graphite, genefilter, BiocGenerics, gplots, GSEABase, Biobase, parallel, corpcor, svd, cluster, grDevices, graphics, stats, utils
LinkingTo
Suggests	BiocStyle, knitr, org.Hs.eg.db
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	mogsa_1.26.0.tar.gz
Windows Binary	mogsa_1.26.0.zip
macOS 10.13 (High Sierra)	mogsa_1.26.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mogsa
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/mogsa
Package Short Url	https://bioconductor.org/packages/mogsa/
Package Downloads Report	Download Stats