ASpediaFI: Functional interaction analysis of alternative splicing events

Abstract

Alternative splicing (AS) regulates biological process governing phenotype or disease. However, it is challenging to systemically analyze global regulation of AS events, their gene interactions, and functions. Here, we introduce a novel application, ASpediaFI for identifying AS events and co-regulated gene interactions implicated in pathways. Our method establishes an interaction network including AS events, performs random walk with restart, and finally identifies a functional subnetwork containing the AS event. We validated the capability of ASpediaFI to interpret biological relevance based on three case studies. Using simulation data, we achieved higher accuracy than with other methods and detected pathway-associated AS events.