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.

AuthorFrancesca Petralia [aut, cre], Pei Wang [aut], Zhidong Tu [aut], Jialiang Yang [aut], Adele Cutler [ctb], Leo Breiman [ctb], Andy Liaw [ctb], Matthew Wiener [ctb]
Date of publication2016-10-26 10:37:49
MaintainerFrancesca Petralia <francesca.petralia@mssm.edu>
LicenseGPL (>= 2)
Version1.1-1
https://www.r-project.org

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