Package: iRafNet
Version: 0.1-1
Date: 2016-01-26
Title: Integrative Random Forest for Gene Regulatory Network Inference
Authors@R: c(person("Francesca Petralia", "Developer", role = c("aut", "cre"),
                     email = "francesca.petralia@mssm.edu"),
              person("Pei Wang", "Developer", role = "aut"),
              person("Zhidong Tu", "Developer", role = "aut"),
              person("Jialiang Yang", "Developer", role = "aut"),
              person("Adele Cutler", "Developer", role = "ctb"),
              person("Leo Breiman", "Developer", role = "ctb"),
              person("Andy Liaw", "Developer", role = "ctb"),
              person("Matthew Wiener", "Developer", role = "ctb"))
Depends: R (>= 3.0.0)
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: 2016-01-27 21:00:16 UTC; petraf01
Author: Francesca Petralia Developer [aut, cre],
  Pei Wang Developer [aut],
  Zhidong Tu Developer [aut],
  Jialiang Yang Developer [aut],
  Adele Cutler Developer [ctb],
  Leo Breiman Developer [ctb],
  Andy Liaw Developer [ctb],
  Matthew Wiener Developer [ctb]
Maintainer: Francesca Petralia Developer <francesca.petralia@mssm.edu>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-01-28 00:21:12
