Elucidation Of Microrna-Gene Regulation In Human Cancer With Integrative Network Models

Computational modeling of complex gene regulation among different mechanisms involving transcript factors, microRNAs, lncRNAs, epigenetic modification, in a chaotic disease system such as cancer, has posed unprecedented challenges. In this study, we introduce a new integrative framework that handles genomics data integration and network model fusion with focus on the inference of context-dependent microRNA-gene interactions. Using breast cancer as a case study, we have identified stage-specific microRNA-gene binding patterns. Functional analysis indicates microRNA regulated signaling during cancer progression.