Differential Association Rules: Understanding Annotations in Protein Interaction Networks

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Author(s): Christopher Besemann (North Dakota State University, USA), Anne Denton (North Dakota State University, USA), Ajay Yekkirala (North Dakota State University, USA), Ron Hutchison (The Richard Stockton College of New Jersey, USA)and Anderson Marc (North Dakota State University, USA)
Copyright: 2008
Pages: 12
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch103

Keywords: Data Mining and Databases / Data Warehousing / Information Science Reference / Library & Information Science

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Abstract

In this chapter, we discuss the use of differential association rules to study the annotations of proteins in one or more interaction networks. Using this technique, we find the differences in the annotations of interacting proteins in a network. We extend the concept to compare annotations of interacting proteins across different definitions of interaction networks. Both cases reveal instances of rules that explain known and unknown characteristics of the network(s). By taking advantage of such data mining techniques, a large number of interesting patterns can be effectively explored that otherwise would not be.

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Differential Association Rules: Understanding Annotations in Protein Interaction Networks

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