Integrative Random Forest for Gene Regulatory Network Inference
Integrative random forest for gene regulatory network inference
Compute permutation-based FDR of importance scores and return estimate...
Derive importance scores for one permuted data.
Plot receiver operating characteristic (ROC) curve for weighted networ...
Derive importance scores for M permuted data sets.
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.