TDARACNE

Network reverse engineering from time course data.

Bioconductor version: 2.9

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>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("TDARACNE")

To cite this package in a publication, start R and enter:

    citation("TDARACNE")

Documentation

PDF R Script TDARACNE
PDF   Reference Manual

Details

biocViews Microarray, TimeCourse
Depends GenKern, Rgraphviz, Biobase
Imports
Suggests
System Requirements
License GPL-2
URL
Depends On Me
Imports Me
Suggests Me
Version 1.4.0
Since Bioconductor 2.8 (R-2.13)

Package Downloads

Package Source TDARACNE_1.4.0.tar.gz
Windows Binary TDARACNE_1.4.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary TDARACNE_1.4.0.tgz
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Fred Hutchinson Cancer Research Center