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Discovering Patterns in Gene Ontology Using Association Rule Mining

Author

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  • Michael Hahsler

    (Department of Engineering Management, Information, and Systems, Southern Methodist University, USA)

  • Anurag Nagar

    (Department of Computer Science, University of Texas at Dallas, USA)

Abstract

Gene Ontology (GO) is one of the largest interdisciplinary bioinformatics projects that aims to provide a uniform and consistent representation of genes and gene products across different species. It has fast become a vast repository of data consisting of biological terms arranged in the form of three different ontologies, and annotation files that represent how these terms are linked to genes across different organisms. Further, this dataset is ever growing due to the various genomic projects underway. While this growth in data is a very welcome development, there is a critical need to develop data mining tools and algorithms that can extract summaries, and discover useful knowledge in an automated way. This paper presents a review of the efforts in this area, focusing on information discovery in the form of association rule mining.

Suggested Citation

  • Michael Hahsler & Anurag Nagar, 2018. "Discovering Patterns in Gene Ontology Using Association Rule Mining," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(3), pages 99-101, April.
    • Handle: RePEc:adp:jbboaj:v:6:y:2018:i:3:p:99-101
    DOI: 10.19080/BBOAJ.2018.06.555689
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    References listed on IDEAS

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    1. Prashanti Manda & Seval Ozkan & Hui Wang & Fiona McCarthy & Susan M Bridges, 2012. "Cross-Ontology Multi-level Association Rule Mining in the Gene Ontology," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
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    Cited by:

    1. Hela Ltifi & Emna Benmohamed & Christophe Kolski & Mounir Ben Ayed, 2020. "Adapted Visual Analytics Process for Intelligent Decision-Making: Application in a Medical Context," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 241-282, February.

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