Integrative Random Forest for Gene Regulatory Network Inference

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Documentation for package ‘iRafNet’ version 1.1-1

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iRafNet Integrative random forest for gene regulatory network inference
iRafNet_network Compute permutation-based FDR of importance scores and return estimated regulations.
iRafNet_permutation Derive importance scores for one permuted data.
roc_curve Plot receiver operating characteristic (ROC) curve for weighted network generated by iRafNet
Run_permutation Derive importance scores for M permuted data sets.