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
Link To Document :
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