A Bayes Network Model to Determine MiRNA Gene Silence Mechanism

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs that silence gene expression by base pairing to mRNAs. They play important gene regulatory roles via hybridization to target mRNAs. The functional characterization of miRNAs relies heavily on the identification of their target mRNAs. Determining whether mRNA genes are regulated by translational repression or by post-transcriptional degradation is the premise of accurately identifying miRNA target genes. Combining expression profiling method with computational sequence analysis method, we present a Bayes network model to identify miRNA target genes as well as to determine the gene silence mechanism. The result shows that the learning algorithm of the model has detected 49 % candidate miRNA target genes at 5 % false detection rate and has determined 80 % genes regulated by post-transcriptional degradation mechanism at 3 % false detection rate. Our model precisely predicts miRNA gene silence mechanism and presents an efficient method to find out miRNA targets.

Keywords

MiRNA target identification Gene silence mechanism Bayes network EM algorithm Variational learning 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.College of SciencesNortheastern UniversityShenyangChina

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