DocumentCode :
3862653
Title :
A stochastic approach to studying biochemical reactions without Monte Carlo simulations
Author :
Vibha Mane;Monica F. Bugallo;Petar M. Djuric
Author_Institution :
Department of Electrical and Computer Engineering, Stony Brook University, NY 11794, USA
fYear :
2009
Firstpage :
549
Lastpage :
552
Abstract :
The time evolution of molecular species in a biochemical system is a discrete-state continuous-time Markov process, which can be described by a chemical master equation. The traditional methods for solving the chemical master equation are based on Monte Carlo methods, such as the stochastic simulation algorithm (SSA). In prior work, we proposed a method for simulation of the time evolution based on the propagation of the first two moments of the molecules in the biochemical system over time. In this paper we present a generalization of our previous result. We also compare our method with other methods such as the stochastic hybrid systems (SHS).
Keywords :
"Stochastic processes","Stochastic systems","Equations","Evolution (biology)","Distributed computing","Markov processes","Chemical processes","Chemical engineering","Biological system modeling","Biological systems"
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2009. SSP ´09. IEEE/SP 15th Workshop on
ISSN :
2373-0803
Print_ISBN :
978-1-4244-2709-3
Type :
conf
DOI :
10.1109/SSP.2009.5278518
Filename :
5278518
Link To Document :
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