mogsa

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see mogsa.

Multiple omics data integrative clustering and gene set analysis


Bioconductor version: 3.11

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 (version "4.0") and enter:


if (!require("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")
moCluster: Integrative clustering using multiple omics data PDF R Script
mogsa: gene set analysis on multiple omics data PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod
Version 1.22.1
In Bioconductor since BioC 3.1 (R-3.2) (9 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
System Requirements
URL
See More
Suggests BiocStyle, knitr, org.Hs.eg.db
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package mogsa_1.22.1.tar.gz
Windows Binary mogsa_1.22.1.zip
macOS 10.13 (High Sierra) mogsa_1.22.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/mogsa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mogsa
Bioc Package Browser https://code.bioconductor.org/browse/mogsa/
Package Short Url https://bioconductor.org/packages/mogsa/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive