• DocumentCode
    2039815
  • Title

    External control of probabilistic boolean networks using inhomogeneous Markov chains

  • Author

    Josserand, T.M.

  • Author_Institution
    Appl. Res. Labs., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2012
  • fDate
    2-4 Dec. 2012
  • Firstpage
    180
  • Lastpage
    182
  • Abstract
    Probabilistic Boolean networks (PBNs) can be used as models for determining therapeutic intervention strategies that reduce the likelihood of aberrant cellular dynamics occurring. Since PBN dynamics can be modeled by Markov chains canonical approaches to control of PBNs have included dynamic-programming based methods. This paper presents an alternative approach exploiting inhomogeneous Markov chains.
  • Keywords
    Boolean functions; Markov processes; biology computing; cellular biophysics; dynamic programming; genetics; medical computing; molecular biophysics; patient treatment; probability; PBN; aberrant cellular dynamics likelihood redution; canonical approach; dynamic programming based methods; inhomogeneous Markov chains; probabilistic boolean network external control; therapeutic intervention strategies; Markov chain; control; probabilistic Boolean network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on
  • Conference_Location
    Washington, DC
  • ISSN
    2150-3001
  • Print_ISBN
    978-1-4673-5234-5
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2012.6507758
  • Filename
    6507758
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2039815