This is the released version of GmicR; for the devel version, see GmicR.
Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)Bioconductor version: Release (3.21)
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, entercitation("GmicR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GmicR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GmicR")
Details biocViews Bayesian, Clustering, GUI, GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkInference, QualityControl, Software, SystemsBiology Version 1.22.0 In Bioconductor since BioC 3.10 (R-3.6) (5.5 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 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4