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Exploring Cancer-Specific microRNA-mRNA Interactions by Evolutionary Layered Hypernetwork Models  

Kim, Soo-Jin (서울대학교 생물정보학)
Ha, Jung-Woo (서울대학교 컴퓨터공학부)
Zhang, Byoung-Tak (서울대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.10, 2010 , pp. 980-984 More about this Journal
Abstract
Exploring microRNA (miRNA) and mRNA regulatory interactions may give new insights into diverse biological phenomena. Recently, miRNAs have been discovered as important regulators that play a major role in various cellular processes. Therefore, it is essential to identify functional interactions between miRNAs and mRNAs for understanding the context- dependent activities of miRNAs in complex biological systems. While elucidating complex miRNA-mRNA interactions has been studied with experimental and computational approaches, it is still difficult to infer miRNA-mRNA regulatory modules. Here we present a novel method, termed layered hypernetworks (LHNs), for identifying functional miRNA-mRNA interactions from heterogeneous expression data. In experiments, we apply the LHN model to miRNA and mRNA expression profiles on multiple cancers. The proposed method identifies cancer-specific miRNA-mRNA interactions. We show the biological significance of the discovered miRNA- mRNA interactions.
Keywords
Machine Learning; Evolutionary Learning; Bioinformatics; miRNA-mRNA Interactions;
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