• DocumentCode
    3460818
  • Title

    Mapping miRNA Regulation to Functional Gene Sets

  • Author

    Chen, Yidong ; Chen, Hung-I Harry ; Huang, Yufei

  • Author_Institution
    Dept. of Epidemiology & Biostat., Univ. of Texas Health Sci. Center at San Antonio San Antonio, San Antonio, TX, USA
  • fYear
    2009
  • fDate
    3-5 Aug. 2009
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    Distinct cellular functions and biological process of cells will likely be reflected in alteration in levels of genes as well as their regulatory components, such as the level of miRNAs. By employing systems biology approaches, we will be able to unambiguously identify the regulatory pathways and biological processes that are unique to specific disease states or responses to treatment. In this study, we propose an additive and weighted model to combine all possible miRNA target predictions to study the regulation change at a specific gene set, pathway or interaction network, rather than individual miRNA, enabling researchers to construct regulation hypothesis at pathway or interaction network level.
  • Keywords
    bioinformatics; cellular biophysics; diseases; genetics; organic compounds; cell biological process; disease; functional gene sets; gene interaction network; mapping miRNA regulation; miRNA target predictions; weighted model; Bayesian methods; Bioinformatics; Biological processes; Diseases; Gene expression; Humans; Intelligent systems; Prediction algorithms; Predictive models; Systems biology; gene regulation; miRNA; pathway analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3739-9
  • Type

    conf

  • DOI
    10.1109/IJCBS.2009.64
  • Filename
    5260723