Package: iRafNet
Version: 1.1-1
Date: 2016-10-26
Title: Integrative Random Forest for Gene Regulatory Network Inference
Authors@R: c(person("Francesca", "Petralia", role = c("aut", "cre"),
                     email = "francesca.petralia@mssm.edu"),
              person("Pei", "Wang", role = "aut"),
              person("Zhidong", "Tu", role = "aut"),
              person("Jialiang", "Yang", role = "aut"),
              person("Adele", "Cutler", role = "ctb"),
              person("Leo", "Breiman", role = "ctb"),
              person("Andy", "Liaw", role = "ctb"),
              person("Matthew", "Wiener", role = "ctb"))
Depends: R (>= 3.0.0)
Imports: ROCR
Description: 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.
License: GPL (>= 2)
URL: https://www.r-project.org
Packaged: 2016-10-26 00:46:40 UTC; petraf01
NeedsCompilation: yes
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@mssm.edu>
Repository: CRAN
Date/Publication: 2016-10-26 10:37:49
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-05-26 15:34:31 UTC; unix
Archs: iRafNet.so.dSYM
