Package: GmicR
Type: Package
Title: Combines WGCNA and xCell readouts with bayesian network
        learrning to generate a Gene-Module Immune-Cell network (GMIC)
Version: 1.26.0
Author: Richard Virgen-Slane
Maintainer: Richard Virgen-Slane <RVS.BioTools@gmail.com>
Description: This package uses bayesian network learning to detect
        relationships between Gene Modules detected by WGCNA and immune
        cell signatures defined by xCell. It is a hypothesis generating
        tool.
License: GPL-2 + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.0.2
Imports: AnnotationDbi, ape, bnlearn, Category, DT, doParallel,
        foreach, gRbase, GSEABase, gRain, GOstats, org.Hs.eg.db,
        org.Mm.eg.db, shiny, WGCNA, data.table, grDevices, graphics,
        reshape2, stats, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
StagedInstall: yes
biocViews: Software, SystemsBiology, GraphAndNetwork, Network,
        NetworkInference, GUI, ImmunoOncology, GeneExpression,
        QualityControl, Bayesian, Clustering
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:51:03 UTC
RemoteUrl: https://github.com/bioc/GmicR
RemoteRef: RELEASE_3_23
RemoteSha: 7d3ca0409ed1b74d06ddb05bf9b90b0c5ec40108
NeedsCompilation: no
Packaged: 2026-04-29 22:20:59 UTC; root
Built: R 4.6.0; ; 2026-04-29 22:25:12 UTC; windows
