By Topic

Association analysis techniques for analyzing complex biological data sets

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

6 Author(s)
Pandey, G. ; Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA ; Atluri, G. ; Fang, G. ; Gupta, R.
more authors

Association analysis is one of the most popular analysis paradigms in data mining. In this paper, we present different types of association patterns and discuss some of their applications in bioinformatics. We present a case study showing the usefulness of association analysis-based techniques for pre-processing protein interaction networks. Finally, we discuss some of the challenges that need to be addressed to make association analysis-based techniques more applicable for bioinformatics.

Published in:

Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on

Date of Conference:

17-21 May 2009