• DocumentCode
    1400165
  • Title

    Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach

  • Author

    Yoon, Byung-Jun ; Qian, Xiaoning ; Sahraeian, Sayed Mohammad Ebrahim

  • Volume
    29
  • Issue
    1
  • fYear
    2012
  • Firstpage
    22
  • Lastpage
    34
  • Abstract
    This study reviewed the application of Markov models to various comparative network analysis problems which provides a powerful means of gaining novel system-level understanding of diverse biological mechanisms within cells and the variegated functional roles of various cellular constituents and help to take advantage on the available biological data and knowledge encoded in the biological networks.
  • Keywords
    biology computing; cellular biophysics; hidden Markov models; molecular biophysics; Markov chain-based approach; biological networks; cells; comparative network analysis; diverse biological mechanisms; hidden Markov model; system-level understanding; Biological cells; Cells (biology); DNA; Genetics; Genomics; Molecular biophysics; Proteomics; RNA;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2011.942819
  • Filename
    6105464