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]