ASSOCIATION ANALYSIS TECHNIQUES FOR ANALYZING COMPLEX BIOLOGICAL DATA SETS

被引：0

作者：

Pandey, Gaurav ^{[1
]}

Atluri, Gowtham ^{[1
]}

Fang, Gang ^{[1
]}

Gupta, Rohit ^{[1
]}

Steinbach, Michael ^{[1
]}

Kumar, Vipin ^{[1
]}

机构：

[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA

来源：

2009 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS 2009) | 2009年

关键词：

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：172 / 175

页数：4

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