• DocumentCode
    2378828
  • 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
  • fYear
    2010
  • fDate
    18-18 Dec. 2010
  • Firstpage
    386
  • Lastpage
    391
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/BIBMW.2010.5703833
  • Filename
    5703833