MODA

DOI: 10.18129/B9.bioc.MODA    

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

Bioconductor version: Release (3.14)

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 (version "4.1") and enter:

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

BiocManager::install("MODA")

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("MODA")

 

HTML		Vignette Title
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, GeneExpression, Microarray, Network, Software
Version	1.20.0
In Bioconductor since	BioC 3.4 (R-3.3) (5.5 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
Links To Me
Build Report

Package Archives

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

Source Package	MODA_1.20.0.tar.gz
Windows Binary	MODA_1.20.0.zip
macOS 10.13 (High Sierra)	MODA_1.20.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MODA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MODA
Package Short Url	https://bioconductor.org/packages/MODA/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.14	Source Archive