mogsa

This is the development version of mogsa; for the stable release version, see mogsa.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1

Multiple omics data integrative clustering and gene set analysis

Bioconductor version: Development (3.24)

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")):

Chen Meng. mogsa: Multiple omics data integrative clustering and gene set analysis. doi:10.18129/B9.bioc.mogsa, R package version 1.47.0, https://bioconductor.org/packages/mogsa.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod
Version	1.47.0
In Bioconductor since	BioC 3.1 (R-3.2) (11.5 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
System Requirements
URL

Suggests	BiocStyle, knitr, org.Hs.eg.db
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	mogsa_1.47.0.tar.gz
Windows Binary (x86_64)	mogsa_1.47.0.zip
macOS Binary (big-sur-x86_64)	mogsa_1.47.0.tgz
macOS Binary (sonoma-arm64)	mogsa_1.47.0.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