TDARACNE

DOI: 10.18129/B9.bioc.TDARACNE    

Network reverse engineering from time course data.

Bioconductor version: Release (3.15)

To infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. The proposed algorithm is expected to be useful in reconstruction of small biological directed networks from time course data.

Author: Zoppoli P.,Morganella S., Ceccarelli M.

Maintainer: Zoppoli Pietro <zoppoli.pietro at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("TDARACNE")

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("TDARACNE")

 

PDF	R Script	TDARACNE
PDF		Reference Manual

Details

biocViews	Microarray, Software, TimeCourse
Version	1.46.0
In Bioconductor since	BioC 2.8 (R-2.13) (11.5 years)
License	GPL-2
Depends	GenKern, Rgraphviz, Biobase
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Build Report

Package Archives

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

Source Package	TDARACNE_1.46.0.tar.gz
Windows Binary	TDARACNE_1.46.0.zip
macOS Binary (x86_64)	TDARACNE_1.46.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/TDARACNE
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/TDARACNE
Package Short Url	https://bioconductor.org/packages/TDARACNE/
Package Downloads Report	Download Stats