• DocumentCode
    2765606
  • Title

    Gene sets enrichment analysis of miRNA expression profile

  • Author

    Hsiao, Tzu-Hung ; Chen, Hung-I Harry ; Sanchez-Diaz, Patricia C. ; Hung, Jaclyn Y. ; Chen, Yidong ; Huang, Yufei

  • Author_Institution
    Greehey Children´´s Cancer Res. Inst., Univ. of Texas, San Antonio, TX, USA
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    449
  • Lastpage
    454
  • Abstract
    Alteration in expression levels of genes as well as their regulatory components, such as those levels of miRNAs in cancer cells will likely reflect in the enrichment of unique cellular functions and biological processes in their corresponding cell systems. By employing systems biology approaches, and instead of examining individual gene, we will directly and unambiguously identify the regulatory pathways and biological processes that are distinctive to specific disease states or responses to therapeutic treatment. In this study, we employ gene set enrichment analysis inspired method to explore the functional regulation of miRNAs. The analysis integrated a mathematic model that associates miRNAs to gene sets through miRNA target genes with a statistic test of enrichment to study the regulation change at a specific pathway. Different from conventional individual miRNA processing procedures, our method enables researchers to construct regulation hypothesis at pathway and functional levels.
  • Keywords
    DNA; bioinformatics; cancer; cellular biophysics; genetic algorithms; medical computing; molecular biophysics; statistical analysis; biological processes; cancer cells; cellular functions; construct regulation hypothesis; disease states; functional level; gene set enrichment analysis; mathematic model; miRNA expression profile; pathway level; regulatory pathways; therapeutic treatment; Biological processes; Cancer; Gene expression; Humans; Proteins; Tumors; gene regulation; miRNA; pathway analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1612-6
  • Type

    conf

  • DOI
    10.1109/BIBMW.2011.6112413
  • Filename
    6112413