iRafNet: Integrative Random Forest for Gene Regulatory Network Inference

Provides a flexible integrative algorithm that allows information from prior data, such as protein protein interactions and gene knock-down, to be jointly considered for gene regulatory network inference.

Version: 1.1-1
Depends: R (≥ 3.0.0)
Imports: ROCR
Published: 2016-10-26
DOI: 10.32614/CRAN.package.iRafNet
Author: Francesca Petralia [aut, cre], Pei Wang [aut], Zhidong Tu [aut], Jialiang Yang [aut], Adele Cutler [ctb], Leo Breiman [ctb], Andy Liaw [ctb], Matthew Wiener [ctb]
Maintainer: Francesca Petralia <francesca.petralia at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: iRafNet results


Reference manual: iRafNet.pdf


Package source: iRafNet_1.1-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): iRafNet_1.1-1.tgz, r-oldrel (arm64): iRafNet_1.1-1.tgz, r-release (x86_64): iRafNet_1.1-1.tgz, r-oldrel (x86_64): iRafNet_1.1-1.tgz
Old sources: iRafNet archive


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