Package: MODA
Type: Package
Title: MODA: MOdule Differential Analysis for weighted gene
        co-expression network
Version: 1.39.0
Date: 2016-12-16
Author: Dong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and
        Shan He
Maintainer: Dong Li <dxl466@cs.bham.ac.uk>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.3)
Imports: grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut,
        igraph, cluster, AMOUNTAIN, RColorBrewer
RoxygenNote: 5.0.1
biocViews: GeneExpression, Microarray, DifferentialExpression, Network
Suggests: BiocStyle, knitr, rmarkdown
ignetteBuilder: knitr
Config/pak/sysreqs: cmake libglpk-dev make libgsl0-dev libicu-dev
        libuv1-dev libxml2-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:43:55 UTC
RemoteUrl: https://github.com/bioc/MODA
RemoteRef: HEAD
RemoteSha: 063275205fd46826f6098bb3f051e5bae71126da
NeedsCompilation: no
Packaged: 2026-07-03 14:08:57 UTC; root