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.
- Version1.1-1
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/26/2016
Team
Francesca Petralia
Pei Wang
Show author detailsRolesAuthorZhidong Tu
Show author detailsRolesAuthorJialiang Yang
Show author detailsRolesAuthorAdele Cutler
Show author detailsRolesContributorLeo Breiman
Show author detailsRolesContributorAndy Liaw
Show author detailsRolesContributorMatthew Wiener
Show author detailsRolesContributor
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- Depends1 package
- Imports1 package