• DocumentCode
    1828586
  • Title

    Discrtet genetic regulatory network modeling

  • Author

    Lu Zhongda ; Wang Lijing ; Hao Yi ; Zhang Jinfeng ; Xu Fengxia

  • Author_Institution
    Coll. of Comput. & Control Eng., Qiqihar Univ., Qiqihar, China
  • fYear
    2013
  • fDate
    Aug. 31 2013-Sept. 2 2013
  • Firstpage
    309
  • Lastpage
    314
  • Abstract
    Genetic regulatory networks can model dynamics of cells. They also allow for studying the effect of internal or external interventions. Selectively applying interventions towards a certain objective is known as controlling network dynamics. In this paper, the issue of how the external interventions affect the network is studied. The effects are determined using differential gene expression analysis. The differential gene expression problem is further studied to improve the power of the given method. Control problem for dynamic discrete regulatory networks is formulated.
  • Keywords
    Markov processes; genetics; molecular biophysics; cells dynamics; controlling network dynamics; differential gene expression analysis; discrete Markov chains framework; discrete genetic regulatory network modeling; external interventions; internal interventions; Computational modeling; Bayesian network; Genetic regulatory network control; Markov Chains; Network modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-0-9567157-3-9
  • Type

    conf

  • Filename
    6642224