DOI: 10.18129/B9.bioc.MODA    

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

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

Bioconductor version: Development (3.7)

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>

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biocViews DifferentialExpression, GeneExpression, Microarray, Network, Software
Version 1.5.0
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
Suggests BiocStyle, knitr, rmarkdown
Depends On Me
Imports Me
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