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Gene regulator enrichment analysis

Bioconductor version: Release (3.19)

This package is a pipeline to identify the key gene regulators in a biological process, for example in cell differentiation and in cell development after stimulation. There are four major steps in this pipeline: (1) differential expression analysis; (2) regulator-target network inference; (3) enrichment analysis; and (4) regulators scoring and ranking.

Author: Weiyang Tao [cre, aut], Aridaman Pandit [aut]

Maintainer: Weiyang Tao <weiyangtao1513 at>

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


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

Gene regulator enrichment with RegEnrich HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, FunctionalPrediction, GeneExpression, GeneSetEnrichment, GeneTarget, Network, NetworkEnrichment, NetworkInference, RNASeq, Software, Transcription, Transcriptomics, TwoChannel
Version 1.14.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License GPL (>= 2)
Depends R (>= 4.0.0), S4Vectors, dplyr, tibble, BiocSet, SummarizedExperiment
Imports randomForest, fgsea, DOSE, BiocParallel, DESeq2, limma, WGCNA, ggplot2 (>= 2.2.0), methods, reshape2, magrittr, BiocStyle
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Suggests GEOquery, rmarkdown, knitr, BiocManager, testthat
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Follow Installation instructions to use this package in your R session.

Source Package RegEnrich_1.14.0.tar.gz
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macOS Binary (x86_64) RegEnrich_1.14.0.tgz
macOS Binary (arm64) RegEnrich_1.14.0.tgz
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