Package: multiWGCNA
Type: Package
Title: multiWGCNA
Version: 1.10.0
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: cmake libfontconfig1-dev libfreetype6-dev
        libglpk-dev make libicu-dev libuv1-dev libxml2-dev libx11-dev
        zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 13:01:13 UTC
RemoteUrl: https://github.com/bioc/multiWGCNA
RemoteRef: RELEASE_3_23
RemoteSha: 3076bc83fd77e3fd49f983113cca49daae8ee057
NeedsCompilation: no
Packaged: 2026-10-11 12:31:18 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>