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

Incorporating Protein-Protein Interactions Knowledge in Clustering Gene Expression Data

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)
Gangguo Li ; Inst. of Autom., Nat. Univ. of Defense Technol., Changsha ; Zheng-Zhi Wang

In this paper, a similarity measure between genes with protein-protein interactions is proposed. On the basis of it, the combined dissimilarity measure is defined. The combined distance measure is introduced into K-means method, which can be considered as an improved K-means method. The improved K-means method and other three clustering methods are evaluated by a real dataset. Performance of these methods is assessed by a prediction accuracy analysis through known gene annotations. Our results show that the improved K-means method outperforms other clustering methods. The performance of the improved K-means method is also tested by varying the tuning parameter of the combined dissimilarity measure. The results show that when the tuning parameter decreases, the performance increases. Finally, a framework of integration of various biological prior knowledge and gene expression data is proposed.

Published in:

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Date of Conference:

16-18 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.