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RegEnrich

This is the development version of RegEnrich; for the stable release version, see RegEnrich.

Gene regulator enrichment analysis


Bioconductor version: Development (3.24)

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 gmail.com>

Citation (from within R, enter citation("RegEnrich")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("RegEnrich")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, FunctionalPrediction, GeneExpression, GeneSetEnrichment, GeneTarget, Network, NetworkEnrichment, NetworkInference, RNASeq, Software, Transcription, Transcriptomics, TwoChannel
Version 1.23.1
In Bioconductor since BioC 3.12 (R-4.0) (6 years)
License GPL (>= 2)
Depends R (>= 4.0.0), S4Vectors, dplyr, tibble, BiocSet, SummarizedExperiment
Imports randomForest, fgsea, enrichit, qvalue, gson, DOSE, BiocParallel, DESeq2, limma, WGCNA, ggplot2 (>= 2.2.0), methods, reshape2, magrittr, BiocStyle
System Requirements
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Suggests GEOquery, rmarkdown, knitr, BiocManager, testthat
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/RegEnrich
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RegEnrich
Package Short Url https://bioconductor.org/packages/RegEnrich/
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