RegEnrich
Gene regulator enrichment analysis
Bioconductor version: Release (3.20)
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("RegEnrich")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RegEnrich")
For older versions of R, please refer to the appropriate Bioconductor 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 RegEnrich | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, FunctionalPrediction, GeneExpression, GeneSetEnrichment, GeneTarget, Network, NetworkEnrichment, NetworkInference, RNASeq, Software, Transcription, Transcriptomics, TwoChannel |
Version | 1.16.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (4 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 |
System Requirements | |
URL |
See More
Suggests | GEOquery, rmarkdown, knitr, BiocManager, testthat |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | RegEnrich_1.16.0.tar.gz |
Windows Binary (x86_64) | RegEnrich_1.16.0.zip |
macOS Binary (x86_64) | RegEnrich_1.16.0.tgz |
macOS Binary (arm64) | RegEnrich_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RegEnrich |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RegEnrich |
Bioc Package Browser | https://code.bioconductor.org/browse/RegEnrich/ |
Package Short Url | https://bioconductor.org/packages/RegEnrich/ |
Package Downloads Report | Download Stats |