Package: multiWGCNA
Type: Package
Title: multiWGCNA
Version: 1.0.0
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
Suggests: BiocStyle, doParallel, ExperimentHub, knitr, markdown,
        rmarkdown, testthat (>= 3.0.0), vegan
VignetteBuilder: knitr
RoxygenNote: 7.2.3
biocViews: Sequencing, RNASeq, GeneExpression, DifferentialExpression,
        Regression, Clustering
Imports: stringr, readr, WGCNA, dplyr, reshape2, data.table, patchwork,
        scales, igraph, flashClust, ggplot2, dcanr, cowplot, ggrepel,
        methods, SummarizedExperiment
Depends: R (>= 4.3.0), ggalluvial
Config/testthat/edition: 3
git_url: https://git.bioconductor.org/packages/multiWGCNA
git_branch: RELEASE_3_18
git_last_commit: cf07247
git_last_commit_date: 2023-10-24
Date/Publication: 2023-10-24
NeedsCompilation: no
Packaged: 2023-10-24 22:08:24 UTC; biocbuild
Author: Dario Tommasini [aut, cre] (<https://orcid.org/0000-0002-1214-6547>),
  Brent Fogel [aut, ctb]
Maintainer: Dario Tommasini <dtommasini0@gmail.com>
Built: R 4.3.2; ; 2023-12-22 14:36:13 UTC; unix
