title: Detecting microarray data supported microRNA-mRNA interactions.
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.
authors.affiliation: School of Computer Science, Fudan University, Shanghai, China. liuhui@fudan.edu.cn
authors.forename: Hui
authors.initials: H
authors.lastname: Liu
authors.forename: Shuigeng
authors.initials: S
authors.lastname: Zhou
authors.forename: Jihong
authors.initials: J
authors.lastname: Guan
mesh_terms: D000465:Algorithms; D023281:Genomics / Q000379:methods*; D006801:Humans; D035683:MicroRNAs / Q000737:chemistry* / Q000378:metabolism; D046228:Microarray Analysis / Q000379:methods*; D012333:RNA, Messenger / Q000737:chemistry* / Q000378:metabolism; D017423:Sequence Analysis, RNA
chemical_list: D035683:MicroRNAs; D012333:RNA, Messenger