Title :
Computational prediction of MicroRNA regulatory pathways
Author :
Yue, Dong ; Chen, Yidong ; Gao, Shou-Jiang ; Huang, Yufei
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
Abstract :
MicroRNAs (miRNAs) are known to regulate transcription and/or protein translation of hundreds of genes. Despite their importance, the functions of most human miRNAs are still poorly understood. In this paper, we proposed a SVM based algorithm - PathMicrO that elucidates the miRNA function by predicting the miRNA regulated pathways. PathMicrO combines the sequence-level target predictions with the gene expression profiling from the miRNA transfection experiments. The performance of PathMicrO is evaluated with cross-validation using a careful constructed training data. Compared to other prediction algorithms, PathMicrO attains 43.2% improvement in precision when recall is equal to 0.2 and achieves much larger area under the receiver operating characteristic (ROC) curve.
Keywords :
biology computing; genetics; macromolecules; organic compounds; sensitivity analysis; support vector machines; PathMicrO; SVM; gene expression profiling; miRNA; microRNA regulatory pathways; protein translation; receiver operating characteristic curve; sequence-level target predictions; transcription; PathmicrO; SVM; function; microRNA; pathway;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
Conference_Location :
Hong, Kong
Print_ISBN :
978-1-4244-8303-7
Electronic_ISBN :
978-1-4244-8304-4
DOI :
10.1109/BIBMW.2010.5703833