This is the development version of RegEnrich; for the stable release version, see RegEnrich.
Gene regulator enrichment analysisBioconductor version: Development (3.22)
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 "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("RegEnrich")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RegEnrich")
Details biocViews DifferentialExpression, FunctionalPrediction, GeneExpression, GeneSetEnrichment, GeneTarget, Network, NetworkEnrichment, NetworkInference, RNASeq, Software, Transcription, Transcriptomics, TwoChannel Version 1.19.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 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 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4