Package: multiWGCNA
Type: Package
Title: multiWGCNA
Version: 1.9.3
Authors@R: c(
    person("Dario", "Tommasini", email="dtommasini0@gmail.com",
      role = c("aut","cre"),
      comment = c(ORCID = "0000-0002-1214-6547")),
    person("Brent", "Fogel", role = c("aut","ctb")))
Description: An R package for deeping mining gene co-expression
        networks in multi-trait expression data. Provides functions for
        analyzing, comparing, and visualizing WGCNA networks across
        conditions. multiWGCNA was designed to handle the common case
        where there are multiple biologically meaningful sample traits,
        such as disease vs wildtype across development or anatomical
        region.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: BiocStyle, doParallel, ExperimentHub, knitr, markdown,
        rmarkdown, testthat (>= 3.0.0), vegan
VignetteBuilder: knitr
RoxygenNote: 7.3.2
biocViews: Sequencing, RNASeq, GeneExpression, DifferentialExpression,
        Regression, Clustering
Imports: stringr, readr, WGCNA, magrittr, dplyr, reshape2, data.table,
        patchwork, scales, igraph, flashClust, ggplot2, dcanr, cowplot,
        ggrepel, methods, SummarizedExperiment, ggraph, tidyr
Depends: R (>= 4.3.0), ggalluvial
Config/testthat/edition: 3
Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev libglpk-dev
        make libicu-dev libpng-dev libxml2-dev libssl-dev libx11-dev
        zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-01-08 00:41:10 UTC
RemoteUrl: https://github.com/bioc/multiWGCNA
RemoteRef: HEAD
RemoteSha: 42c77b53d06c54aa321e19f9316cedb3ecee78bb
NeedsCompilation: no
Packaged: 2026-01-08 04:01:13 UTC; root
Author: Dario Tommasini [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1214-6547>),
  Brent Fogel [aut, ctb]
Maintainer: Dario Tommasini <dtommasini0@gmail.com>
Built: R 4.6.0; ; 2026-01-08 04:03:24 UTC; windows
