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RTN

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see RTN.

Reconstruction of transcriptional networks and analysis of master regulators


Bioconductor version: 3.6

This package provides classes and methods for transcriptional network inference and analysis. Modulators of transcription factor activity are assessed by conditional mutual information, and master regulators are mapped to phenotypes using different strategies, e.g., gene set enrichment, shadow and synergy analyses. Additionally, master regulators can be linked to genetic markers using eQTL/VSE analysis, taking advantage of the haplotype block structure mapped to the human genome in order to explore risk-associated SNPs identified in GWAS studies.

Author: Mauro Castro, Xin Wang, Michael Fletcher, Florian Markowetz and Kerstin Meyer

Maintainer: Mauro Castro <mauro.a.castro at gmail.com>

Citation (from within R, enter citation("RTN")):

Installation

To install this package, start R (version "3.4") and enter:


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

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

Documentation

Reference Manual PDF
NEWS Text

Details

Version 2.2.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License Artistic-2.0
Depends R (>= 3.3.3), methods
Imports RedeR, minet, snow, limma, data.table, car, IRanges, igraph, S4Vectors
System Requirements
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Suggests HTSanalyzeR, RUnit, BiocGenerics, ff, BiocStyle, knitr, rmarkdown
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Package Archives

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

Source Package RTN_2.2.0.tar.gz
Windows Binary RTN_2.2.0.zip
Mac OS X 10.11 (El Capitan) RTN_2.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RTN
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RTN
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Old Source Packages for BioC 3.6 Source Archive

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