Package: GmicR
Type: Package
Title: Combines WGCNA and xCell readouts with bayesian network
        learrning to generate a Gene-Module Immune-Cell network (GMIC)
Version: 1.12.0
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
git_url: https://git.bioconductor.org/packages/GmicR
git_branch: RELEASE_3_16
git_last_commit: 729668d
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-02 00:50:37 UTC; biocbuild
Built: R 4.2.1; ; 2022-11-02 13:41:56 UTC; windows
