MODA

DOI: 10.18129/B9.bioc.MODA    

MODA: MOdule Differential Analysis for weighted gene co-expression network

Bioconductor version: Release (3.6)

MODA can be used to estimate and construct condition-specific gene co-expression networks, and identify differentially expressed subnetworks as conserved or condition specific modules which are potentially associated with relevant biological processes.

Author: Dong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and Shan He

Maintainer: Dong Li <dxl466 at cs.bham.ac.uk>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MODA")

Documentation

HTML		Vignette Title
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, GeneExpression, Microarray, Network, Software
Version	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 years)
License	GPL (>= 2)
Depends	R (>= 3.3)
Imports	grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown
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	MODA_1.4.0.tar.gz
Windows Binary	MODA_1.4.0.zip
Mac OS X 10.11 (El Capitan)	MODA_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MODA
Package Short Url	http://bioconductor.org/packages/MODA/
Package Downloads Report	Download Stats