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>

Citation (from within R, enter citation("MODA")):

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

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