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

A Sequential Monte Carlo EM Solution to the Transcription Factor Binding Site Identification Problem

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

2 Author(s)
Jackson, Edmund S. ; Signal Processing Laboratory, Department of Engineering, Cambridge University ; Fitzgerald, W.J.

A significant and stubbornly intractable problem in genome sequence analysis has been the de-novo identification of transcription factor binding sites in promoter regions. Probabilistic methods have faced difficulties from prior ignorance and poor models of the biological sequence. These problems result in inference in an extremely irregular, high dimensional space. We derive and demonstrate a novel method with improved convergence to the global mode utilising an iterated particle optimisation in place of the standard Gibbs sampling approach.

Published in:

Nonlinear Statistical Signal Processing Workshop, 2006 IEEE

Date of Conference:

13-15 Sept. 2006

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.