TY - GEN
T1 - Stochastic modeling of second order reactions using a moment propagation method
AU - Mane, Vibha
AU - Bugallo, Mönica F.
AU - Djurić, Petar M.
PY - 2009
Y1 - 2009
N2 - The traditional methods for solving the chemical master equation are based on Monte Carlo methods, such as the stochastic simulation algorithm (SSA) and its accelerated versions. Methods for modeling biochemical networks based on moment propagation are a relatively unexplored area. In a prior paper, we addressed first-order reactions and presented a new method for propagating the first two moments of the probability distributions of the number of molecules over time. In this paper we extend this method to second order reactions and demonstrate its performance on some simple networks.
AB - The traditional methods for solving the chemical master equation are based on Monte Carlo methods, such as the stochastic simulation algorithm (SSA) and its accelerated versions. Methods for modeling biochemical networks based on moment propagation are a relatively unexplored area. In a prior paper, we addressed first-order reactions and presented a new method for propagating the first two moments of the probability distributions of the number of molecules over time. In this paper we extend this method to second order reactions and demonstrate its performance on some simple networks.
UR - https://www.scopus.com/pages/publications/70349509071
U2 - 10.1109/GENSIPS.2009.5174358
DO - 10.1109/GENSIPS.2009.5174358
M3 - Conference contribution
AN - SCOPUS:70349509071
SN - 9781424447619
T3 - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
BT - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
T2 - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
Y2 - 17 May 2009 through 21 May 2009
ER -