Cart (Loading....) | Create Account
Close category search window
 

On new stochastic approaches for solving forward and backward problems of biochemical networks

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
$31 $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

3 Author(s)
Djuric, P.M. ; Dept. Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY ; Bugallo, M.F. ; Mane, V.

There are two distinct problems in the stochastic analysis of biochemical networks, and they are known as the forward and inverse problems. Solutions of the former problem are used for simulating a system of molecular species in time according to the random laws that govern the reactions in which the species participate. Solutions of the latter problem provide estimates of the unknowns in the system that is represented by the biochemical network. The estimates are obtained from measurements that are functions of the number of molecules of some of the species. In the two problems, we have underlying assumptions about the probabilistic models of the studied network. In this paper we present two new methods for addressing these problems. For solving the forward problem we propose a method that does not employ Monte Carlo simulations, whereas for solving the inverse problem we use particle filtering.

Published in:

Information Theory Workshop, 2008. ITW '08. IEEE

Date of Conference:

5-9 May 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.