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RegEnrich

This is thedevelopment version of RegEnrich; for the stable release version, seeRegEnrich.

Gene regulator enrichment analysis

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DOI: 10.18129/B9.bioc.RegEnrich


Bioconductor version: Development (3.23)

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, entercitation("RegEnrich")):

Installation

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

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("RegEnrich")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RegEnrich")
Gene regulator enrichment with RegEnrichHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialExpression,FunctionalPrediction,GeneExpression,GeneSetEnrichment,GeneTarget,Network,NetworkEnrichment,NetworkInference,RNASeq,Software,Transcription,Transcriptomics,TwoChannel
Version1.21.0
In Bioconductor sinceBioC 3.12 (R-4.0) (5 years)
LicenseGPL (>= 2)
DependsR (>= 4.0.0),S4Vectors,dplyr,tibble,BiocSet,SummarizedExperiment
ImportsrandomForest,fgsea,DOSE,BiocParallel,DESeq2,limma,WGCNA,ggplot2 (>= 2.2.0), methods,reshape2,magrittr,BiocStyle
System Requirements
URL
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SuggestsGEOquery,rmarkdown,knitr,BiocManager,testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageRegEnrich_1.21.0.tar.gz
Windows Binary (x86_64) RegEnrich_1.21.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)RegEnrich_1.21.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/RegEnrich
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/RegEnrich
Bioc Package Browserhttps://code.bioconductor.org/browse/RegEnrich/
Package Short Urlhttps://bioconductor.org/packages/RegEnrich/
Package Downloads ReportDownload Stats

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