Title :
Stochastic simulation and parameter estimation of enzyme reaction models
Author :
Xueying Zhang;K. De Cock;M.F. Bugallo;P.M. Djuric
Author_Institution :
Dept. of Electr. & Comput. Eng., Stony Brook Univ., NY, USA
fDate :
6/25/1905 12:00:00 AM
Abstract :
The development of models and estimators that can satisfactorily describe enzyme reactions are extremely valuable to understand life processes. In this paper, the problem of modeling and parameter estimation of enzyme reactions from a stochastic perspective is addressed. The simulation results show that obtained estimators are adequate and accurate enough for this type of systems.
Keywords :
"Stochastic processes","Parameter estimation","Biochemistry","Chemicals","Biological system modeling","White blood cells","Computational modeling","Life estimation","Humans","Microorganisms"
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289461