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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.
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Package details |
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| 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> |
| License | GPL (>= 2) |
| Version | 1.1-1 |
| URL | https://www.r-project.org |
| Package repository | View on CRAN |
| Installation |
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