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This is the development version of GmicR; for the stable release version, see GmicR.

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

Bioconductor version: Development (3.20)

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>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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 1.19.0
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,,, 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_1.19.0.tar.gz
Windows Binary
macOS Binary (x86_64) GmicR_1.19.0.tgz
macOS Binary (arm64) GmicR_1.19.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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