Package: MODA
Type: Package
Title: MODA: MOdule Differential Analysis for weighted gene
        co-expression network
Version: 1.36.0
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
git_url: https://git.bioconductor.org/packages/MODA
git_branch: RELEASE_3_22
git_last_commit: 2387620
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.22
Date/Publication: 2025-10-29
NeedsCompilation: no
Packaged: 2025-10-30 05:10:28 UTC; biocbuild
