Package: iRafNet 1.1-1

Francesca Petralia

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.

Authors: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]

iRafNet_1.1-1.tar.gz
iRafNet_1.1-1.tar.gz(r-4.5-noble)iRafNet_1.1-1.tar.gz(r-4.4-noble)
iRafNet_1.1-1.tgz(r-4.4-emscripten)iRafNet_1.1-1.tgz(r-4.3-emscripten)
iRafNet.pdf |iRafNet.html✨
iRafNet/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 3 stars 2.05 score 6 dependencies 8 mentions 6 scripts 152 downloads

Last updated 8 years agofrom:418241954c. Checks:OK: 2. Indexed: yes.

Exports:iRafNetiRafNet_networkiRafNet_permutationroc_curveRun_permutation

Dependencies:bitopscaToolsgplotsgtoolsKernSmoothROCR