GmicR
Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)
Bioconductor version: 3.23 · Package version: 1.26.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GmicR")Details
| Maintainer | Richard Virgen-Slane <RVS.BioTools@gmail.com> |
| Author | Richard Virgen-Slane |
| License | GPL-2 + file LICENSE |
| Downloads rank | 261 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, Clustering, GUI, GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkInference, QualityControl, Software, SystemsBiology |
Documentation
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Dependencies
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