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

Graphlet alignment in protein interaction 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

2 Author(s)
Mu-Fen Hsieh ; Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA ; Sing-Hoi Sze

With the increased availability of genome-scale data, it becomes possible to study functional relationships of genes across multiple biological networks. While most previous approaches for studying conservation of patterns in networks are through the application of network alignment algorithms or the identification of network motifs, we show that it is possible to exhaustively enumerate all graphlet alignments, which consist of subgraphs from each network that share a common topology and contain homologous proteins at the same position in the topology. We show that our algorithm is able to cover significantly more proteins than previous network alignment algorithms while achieving comparable specificity and higher sensitivity with respect to functional enrichment.

Published in:

Genomic Signal Processing and Statistics (GENSIPS), 2010 IEEE International Workshop on

Date of Conference:

10-12 Nov. 2010

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.