Package: RegEnrich Type: Package Title: Gene regulator enrichment analysis Version: 1.23.1 Authors@R: c( person("Weiyang", "Tao", email = "weiyangtao1513@gmail.com", role = c("cre", "aut")), person("Aridaman", "Pandit", email = "A.Pandit@umcutrecht.nl", role = "aut")) Description: 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. Depends: R (>= 4.0.0), S4Vectors, dplyr, tibble, BiocSet, SummarizedExperiment License: GPL (>= 2) Encoding: UTF-8 VignetteBuilder: knitr RoxygenNote: 7.3.1 Collate: 'COEN.R' 'globals.R' 'DEA.R' 'GRN.R' 'data.R' 'regenrichClasses.R' 'genericMethods.R' 'localUtils.R' 'plots.R' 'regFET.R' 'regSEA.R' 'regenrich_diffExpr.R' 'regenrich_enrich.R' 'regenrich_network.R' 'regenrich_rankScore.R' 'results.R' 'show.R' 'topNet.R' Imports: randomForest, fgsea, enrichit, qvalue, gson, DOSE, BiocParallel, DESeq2, limma, WGCNA, ggplot2 (>= 2.2.0), methods, reshape2, magrittr, BiocStyle Suggests: GEOquery, rmarkdown, knitr, BiocManager, testthat biocViews: GeneExpression, Transcriptomics, RNASeq, TwoChannel, Transcription, GeneTarget, NetworkEnrichment, DifferentialExpression, Network, NetworkInference, GeneSetEnrichment, FunctionalPrediction Config/pak/sysreqs: cmake make libicu-dev libpng-dev libuv1-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-05-09 17:08:07 UTC RemoteUrl: https://github.com/bioc/RegEnrich RemoteRef: HEAD RemoteSha: 4591d48d988ee689e692a58f3663b4a07c067d91 NeedsCompilation: no Packaged: 2026-07-08 05:51:02 UTC; root Author: Weiyang Tao [cre, aut], Aridaman Pandit [aut] Maintainer: Weiyang Tao