• DocumentCode
    3165160
  • Title

    Properties of the nonlinear and asymmetric time-delay gene transcriptional regulation system

  • Author

    JiuYun, Wang ; Yuan, Chen Zhi ; Feng, Wang Hui

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xianning Univ., Xianning, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    2436
  • Lastpage
    2439
  • Abstract
    The paper introduces the deterministic model and stochastic model of the nonlinear and asymmetric time-delay gene transcriptional regulation system, and researches the properties of stochastic system with the delay time by computational modeling. With the delay time increasing, it is found that the peak of probability distribution in high steady states is increased, and the peak of probability distribution in low steady states is decreased. The mean of state variable, the normalized variance, and the normalized autocorrelation function are slowly varied with small delay time, On the other hand, the mean of state variable is rapidly increased, and the normalized variance, and the normalized autocorrelation function is rapidly decreased with large delay time.
  • Keywords
    biology computing; delays; genetics; modelling; molecular biophysics; stochastic processes; asymmetric time delay gene transcriptional regulation system; computational modeling; delay time; deterministic model; high steady state probability distribution peak; low steady state probability distribution peak; nonlinear time delay gene transcriptional regulation system; normalized autocorrelation function; normalized variance; state variable; stochastic model; stochastic system; Computational modeling; Correlation; Delay; Noise; Oscillators; Steady-state; Stochastic processes; computational modeling; delay time; property; stochastic system; transcriptional regulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5769112
  • Filename
    5769112