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Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)

Bioconductor version: Release (3.18)

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.

Author: Richard Virgen-Slane

Maintainer: Richard Virgen-Slane <RVS.BioTools at gmail.com>

Citation (from within R, enter citation("GmicR")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

GmicR_vignette HTML R Script
Reference Manual PDF


biocViews Bayesian, Clustering, GUI, GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkInference, QualityControl, Software, SystemsBiology
Version 1.16.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-2 + file LICENSE
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
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Suggests knitr, rmarkdown, testthat
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Follow Installation instructions to use this package in your R session.

Source Package GmicR_1.16.0.tar.gz
Windows Binary GmicR_1.16.0.zip
macOS Binary (x86_64) GmicR_1.16.0.tgz
macOS Binary (arm64) GmicR_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GmicR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GmicR
Bioc Package Browser https://code.bioconductor.org/browse/GmicR/
Package Short Url https://bioconductor.org/packages/GmicR/
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