DocumentCode :
3165165
Title :
Stochastic stability and its application to the analysis of gene regulatory networks
Author :
El Samad, Hana ; Khammash, Mustafa
Author_Institution :
Dept. of Mech. Eng., California Univ., Santa Barbara, CA, USA
Volume :
3
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
3001
Abstract :
As gene regulatory network design and implementation becomes more common, understanding the stochastic stability properties of these networks is increasingly becoming more of a necessity. A study of such properties would uncover regimes of stable behavior under both cellular intrinsic biochemical noise, and extrinsic uncertainty resulting from fluctuating environments and noisy interconnections between individual networks. In this paper, we revise and specialize common notions of stochastic stability to study two prototypical models of gene regulatory networks that have extensively been used in the biological literature.
Keywords :
genetics; stability; stochastic systems; white noise; cellular intrinsic biochemical noise; extrinsic uncertainty; gene regulatory networks; prototypical models; stochastic stability; Additive noise; Cellular networks; Crosstalk; Genetics; Noise generators; Prototypes; Stability analysis; Stochastic processes; Stochastic resonance; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-8682-5
Type :
conf
DOI :
10.1109/CDC.2004.1428924
Filename :
1428924
Link To Document :
بازگشت