Association analysis techniques for bioinformatics problems

Gowtham Atluri; Rohit Gupta; Gang Fang; Gaurav Pandey; Michael S Steinbach; Vipin Kumar

doi:10.1007/978-3-642-00727-9_1

Association analysis techniques for bioinformatics problems

Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S Steinbach, Vipin Kumar

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

26 Scopus citations

Abstract

Association analysis is one of the most popular analysis paradigms in data mining. Despite the solid foundation of association analysis and its potential applications, this group of techniques is not as widely used as classification and clustering, especially in the domain ofbioinformatics and computational biology. 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 for the task of protein function prediction. Finally, we discuss some of the challenges that need to be addressed to make association analysis-based techniques more applicable for a number of interesting problems in bioinformatics.

Original language	English (US)
Title of host publication	Bioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings
Pages	1-13
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-642-00727-9_1
State	Published - Aug 11 2009
Event	1st International Conference on Bioinformatics and Computational Biology, BICoB 2009 - New Orleans, LA, United States Duration: Apr 8 2009 → Apr 10 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5462 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Conference on Bioinformatics and Computational Biology, BICoB 2009
Country/Territory	United States
City	New Orleans, LA
Period	4/8/09 → 4/10/09

Keywords

Association Analysis
Bioinformatics
Data Mining
Frequent

Publisher link

10.1007/978-3-642-00727-9_1

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Atluri, G., Gupta, R., Fang, G., Pandey, G., Steinbach, M. S., & Kumar, V. (2009). Association analysis techniques for bioinformatics problems. In Bioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings (pp. 1-13). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5462 LNBI). https://doi.org/10.1007/978-3-642-00727-9_1

Association analysis techniques for bioinformatics problems. / Atluri, Gowtham; Gupta, Rohit; Fang, Gang et al.
Bioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings. 2009. p. 1-13 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5462 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Atluri, G, Gupta, R, Fang, G, Pandey, G, Steinbach, MS & Kumar, V 2009, Association analysis techniques for bioinformatics problems. in Bioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5462 LNBI, pp. 1-13, 1st International Conference on Bioinformatics and Computational Biology, BICoB 2009, New Orleans, LA, United States, 4/8/09. https://doi.org/10.1007/978-3-642-00727-9_1

Atluri G, Gupta R, Fang G, Pandey G, Steinbach MS , Kumar V. Association analysis techniques for bioinformatics problems. In Bioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings. 2009. p. 1-13. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-00727-9_1

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abstract = "Association analysis is one of the most popular analysis paradigms in data mining. Despite the solid foundation of association analysis and its potential applications, this group of techniques is not as widely used as classification and clustering, especially in the domain ofbioinformatics and computational biology. 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 for the task of protein function prediction. Finally, we discuss some of the challenges that need to be addressed to make association analysis-based techniques more applicable for a number of interesting problems in bioinformatics.",

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KW - Data Mining

KW - Frequent

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Association analysis techniques for bioinformatics problems

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