By Topic

Stochastic simulation and parameter estimation of enzyme reaction models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xueying Zhang ; Dept. of Electr. & Comput. Eng., Stony Brook Univ., NY, USA ; K. De Cock ; M. F. Bugallo ; P. M. Djuric

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.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003