This is the development version of RTN; for the stable release version, see RTN.
RTN: Reconstruction of Transcriptional regulatory Networks and analysis of regulonsBioconductor version: Development (3.22)
A transcriptional regulatory network (TRN) consists of a collection of transcription factors (TFs) and the regulated target genes. TFs are regulators that recognize specific DNA sequences and guide the expression of the genome, either activating or repressing the expression the target genes. The set of genes controlled by the same TF forms a regulon. This package provides classes and methods for the reconstruction of TRNs and analysis of regulons.
Author: Clarice Groeneveld [ctb], Gordon Robertson [ctb], Xin Wang [aut], Michael Fletcher [aut], Florian Markowetz [aut], Kerstin Meyer [aut], and Mauro Castro [aut]
Maintainer: Mauro Castro <mauro.a.castro at gmail.com>
Citation (from within R, entercitation("RTN")
): 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("RTN")
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("RTN")
RTN: reconstruction of transcriptional regulatory networks and analysis of regulons." HTML R Script Reference Manual PDF NEWS Text Details biocViews GeneExpression, GeneRegulation, GeneSetEnrichment, GeneticVariability, GraphAndNetwork, Network, NetworkEnrichment, NetworkInference, Software, Transcription Version 2.33.0 In Bioconductor since BioC 2.13 (R-3.0) (11.5 years) License Artistic-2.0 Depends R (>= 3.6.3), methods Imports RedeR, minet, viper, mixtools, snow, stats, limma, data.table, IRanges, igraph, S4Vectors, SummarizedExperiment, car, pwr, pheatmap, grDevices, graphics, utils System Requirements URL http://dx.doi.org/10.1038/ncomms3464 See More Package Archives
Follow Installation instructions to use this package in your R session.
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