To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CoRegNet")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.3)
This package provides methods to identify active transcriptional programs. Methods and classes are provided to import or infer large scale co-regulatory network from transcriptomic data. The specificity of the encoded networks is to model Transcription Factor cooperation. External regulation evidences (TFBS, ChIP,...) can be integrated to assess the inferred network and refine it if necessary. Transcriptional activity of the regulators in the network can be estimated using an measure of their influence in a given sample. Finally, an interactive UI can be used to navigate through the network of cooperative regulators and to visualize their activity in a specific sample or subgroup sample. The proposed visualization tool can be used to integrate gene expression, transcriptional activity, copy number status, sample classification and a transcriptional network including co-regulation information.
Author: Remy Nicolle, Thibault Venzac and Mohamed Elati
Maintainer: Remy Nicolle <remy.c.nicolle at gmail.com>
Citation (from within R,
enter citation("CoRegNet")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CoRegNet")
HTML | R Script | Custom Print Methods |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, GeneRegulation, GraphAndNetwork, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcription, Visualization |
Version | 1.8.2 |
In Bioconductor since | BioC 3.0 (R-3.1) (2 years) |
License | GPL-3 |
Depends | R (>= 2.14), igraph, shiny, arules, methods |
Imports | |
LinkingTo | |
Suggests | RColorBrewer, gplots, BiocStyle, knitr |
SystemRequirements | |
Enhances | |
URL | |
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Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | CoRegNet_1.8.2.tar.gz |
Windows Binary | CoRegNet_1.8.2.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | CoRegNet_1.8.2.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/CoRegNet/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/CoRegNet/ |
Package Downloads Report | Download Stats |
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