TY - GEN
T1 - Control of stochastic master equation models of genetic regulatory networks by approximating their average behavior
AU - Pal, Ranadip
AU - Caglar, Mehmet Umut
PY - 2010
Y1 - 2010
N2 - Stochastic master equation (SME) models can provide detailed representation of genetic regulatory system but their use is restricted by the large data requirements for parameter inference and inherent computational complexity involved in its simulation. In this paper, we approximate the expected value of the output distribution of the SME by the output of a deterministic Differential Equation (DE) model. The mapping provides a technique to simulate the average behavior of the system in a computationally inexpensive manner and enables us to use existing tools for DE models to control the system. The effectiveness of the mapping and the subsequent intervention policy design was evaluated through a biological example.
AB - Stochastic master equation (SME) models can provide detailed representation of genetic regulatory system but their use is restricted by the large data requirements for parameter inference and inherent computational complexity involved in its simulation. In this paper, we approximate the expected value of the output distribution of the SME by the output of a deterministic Differential Equation (DE) model. The mapping provides a technique to simulate the average behavior of the system in a computationally inexpensive manner and enables us to use existing tools for DE models to control the system. The effectiveness of the mapping and the subsequent intervention policy design was evaluated through a biological example.
KW - Control policy design
KW - Differential equation models
KW - Stochastic master equation models
UR - http://www.scopus.com/inward/record.url?scp=79952806455&partnerID=8YFLogxK
U2 - 10.1109/GENSIPS.2010.5719681
DO - 10.1109/GENSIPS.2010.5719681
M3 - Conference contribution
AN - SCOPUS:79952806455
SN - 9781612847924
T3 - 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2010
BT - 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2010
T2 - 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2010
Y2 - 10 November 2010 through 12 November 2010
ER -