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Identification of 5' Pre-miRNAs and 3' Pre-miRNAs Employing Support Vector Machine and Local Structure Units

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4 Author(s)
Weibo Jin ; Coll. of Life Sci., Northwest A&F Univ., Yangling ; Dong Kong ; Fangli Wu ; Aiguang Guo

MicroKNAs (miRNA) are essential 21-22 nucleotides regulatory RNAs produced from larger hairpin precursors (pre-miRNA), and regulate gene expression through mRNA degradation or translational inhibition. We applied functional strand support vector machine (FS-SVM), a new method for prediction of functional strand on the miRNA precursors, to classifying 5' and 3' pre-miRNAs and achieved about 94% accuracy on human or mouse data. The FS-SVM classifier built on human and mouse data can correctly identify up to 90.9% of the pre-miRNAs from primates, and up to about 89.0% of the pre-miRNAs from other mammals.

Published in:

Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on

Date of Conference:

6-8 July 2007

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