iRafNet: Integrative Random Forest for Gene Regulatory Network Inference
Version 1.1-1

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.

Getting started

Package details

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 <[email protected]>
LicenseGPL (>= 2)
Version1.1-1
URL https://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("iRafNet")

Try the iRafNet package in your browser

Any scripts or data that you put into this service are public.

iRafNet documentation built on May 29, 2017, 8:43 p.m.