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

An algorithm for generating representative functional annotations based on Gene Ontology

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)
In-Yee Lee ; Intstitute of Inf. Sci., Acad. Sinica, Taipei, Taiwan ; Jan-Ming Ho ; Wen-Chang Lin

The authors address the issue of providing highly representative descriptions in automated functional annotations. For an uncharacterized sequence, a common strategy is to infer such annotations from those of well-characterized sequences that contain its homologues. However, under many circumstances, this strategy fails to produce meaningful annotations. Using information revealed by the structured vocabularies of Gene ontology, we propose a quantitative algorithm to assign representative annotations. We established a confidence function that reflects both the precision and coverage of a candidate annotation, and reasoned the function's parameters form analyses of significant forms of candidate distributions on the GO graph. We tested the algorithm with our self-designed BIO101 (http: //BIO101.iis.sinica.edu.tw), an automated annotation system that supports the workflows of functional annotations for expressed sequence tags (ESTs). According to our experimental results, the algorithm is capable of producing representative and meaningful functional annotations.

Published in:

Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on

Date of Conference:

1-5 Sept. 2003

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.