Bioconductor version: Release (3.14)
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>
Citation (from within R,
enter citation("TDARACNE")
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R Script | TDARACNE | |
Reference Manual |
biocViews | Microarray, Software, TimeCourse |
Version | 1.44.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (11 years) |
License | GPL-2 |
Depends | GenKern, Rgraphviz, Biobase |
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Follow Installation instructions to use this package in your R session.
Source Package | TDARACNE_1.44.0.tar.gz |
Windows Binary | TDARACNE_1.44.0.zip |
macOS 10.13 (High Sierra) | TDARACNE_1.44.0.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 |
Old Source Packages for BioC 3.14 | Source Archive |
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