Detecting microarray data supported microRNA-mRNA interactions

被引：5

作者：

Liu, Hui ^{[1
,3
]}

Zhou, Shuigeng ^{[1
,2
]}

Guan, Jihong ^{[4
]}

机构：

[1] Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China

[2] Fudan Univ, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China

[3] Jiangsu Polytech Inst, Sch Informat Sci & Engn, Jiangsu, Peoples R China

[4] Tongji Univ, Dept Comp Sci & Technol, Shanghai 200092, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS | 2010年 / 4卷 / 06期

基金：

中国国家自然科学基金;

关键词：

microRNA; target gene; bipartite graph; microarray; GENE-EXPRESSION; TARGET PREDICTION; ELEGANS; IDENTIFICATION; GENOMICS; SEQUENCE; FEEDBACK;

D O I：

10.1504/IJDMB.2010.037545

中图分类号：

Q [生物科学];

学科分类号：

090105 [作物生产系统与生态工程];

摘要：

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.

引用

页码：639 / 655

页数：17

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