Association analysis techniques for bioinformatics problems

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations


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 languageEnglish (US)
Title of host publicationBioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings
Number of pages13
StatePublished - 2009
Event1st International Conference on Bioinformatics and Computational Biology, BICoB 2009 - New Orleans, LA, United States
Duration: Apr 8 2009Apr 10 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5462 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st International Conference on Bioinformatics and Computational Biology, BICoB 2009
Country/TerritoryUnited States
CityNew Orleans, LA


  • Association Analysis
  • Bioinformatics
  • Data Mining
  • Frequent


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