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GmicR

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 (3.19)

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")):

Installation

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


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GmicR")

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

Documentation

Reference Manual PDF

Details

biocViews Bayesian, Clustering, GUI, GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkInference, QualityControl, Software, SystemsBiology
Version 1.17.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-2 + file LICENSE
Depends
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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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS Binary (x86_64) GmicR_1.17.0.tgz
macOS Binary (arm64)
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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