Detecting microarray data supported microRNA-mRNA interactions

Authors:
Hui Liu;Shuigeng Zhou;Jihong Guan
Affiliations:
School of Computer Science, Fudan University, Shanghai, China/ School of Information Science and Engineering, Jiangsu Polytechnic Institute, Jiangsu, China.;School of Computer Science, Fudan University, Shanghai, China/ Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China.;Department of Computer Science and Technology, Tongji University, Shanghai, China
Venue:
International Journal of Data Mining and Bioinformatics
Year:
2010

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Abstract

MicroRNAs (miRNAs) have been recently emerged as a novel class of endogenous post-transcriptional regulators in a variety of animal and plant species. Identifying bona fide miRNA-mRNA interactions is an important but challenging task for our insight into the regulatory mechanism of miRNAs. In this paper, we employ a variant of affinity propagation algorithm customised for bipartite graph to reveal the miRNA-mRNA interactions supported by microarray data. Our extensive experiments on human data sets show that our method performs effectively in screening the miRNA-mRNA interactions predicted by sequence-based approaches to reduce the number of candidate miRNA targets using microarray data.