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.
|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]|
|Date of publication||2016-10-26 10:37:49|
|Maintainer||Francesca Petralia <firstname.lastname@example.org>|
|License||GPL (>= 2)|
iRafNet: Integrative random forest for gene regulatory network...
iRafNet_network: Compute permutation-based FDR of importance scores and return...
iRafNet_permutation: Derive importance scores for one permuted data.
roc_curve: Plot receiver operating characteristic (ROC) curve for...
Run_permutation: Derive importance scores for M permuted data sets.