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:
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)
# Install 'iRafNet' in R: |
install.packages('iRafNet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:418241954c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
Exports:iRafNetiRafNet_networkiRafNet_permutationroc_curveRun_permutation