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Intelligent Control and Innovative Computing pp 377–394Cite as

Informative Gene Discovery in DNA Microarray Data Using Statistical Approach

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 110))

Abstract

Preventing, diagnosing, and treating disease is greatly facilitated by the availability of biomarkers. Recent improvements in bioinformatics technology have facilitated large-scale screening of DNA microarrays for candidate biomarkers. Here we discuss a gene selection method, which is called LEAve-one-out Forward selection method (LEAF), for discovering informative genes embedded in gene expression data, and propose an additional algorithm for extending LEAF’s capabilities. LEAF is an iterative forward selection method incorporating the concept of leave-one-out cross validation (LOOCV) and provides a discrimination power score (DPS) for genes, which is a criterion for selecting the candidate of informative genes. We show that LEAF identifies genes that are practically used as biomarkers. Our method should be useful bioinformatics tool for biomedical, clinical, and pharmaceutical researchers.

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Acknowledgements

A part of this work was supported by Promotion for Young Research Talent and Network from Northern Advancement Center for Science & Technology (NOASTEC Japan) and Grant-in-Aid for Young Scientists (B) No.21700233 from MEXT Japan.

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Authors and Affiliations

  1. Satellite Venture Business Laboratory, Muroran Institute of Technology, 27-1, Mizumoto, Muroran, Hokkaido, 050-8585, Japan

    Kentaro Fukuta

  2. College of Information and Systems, Muroran Institute of Technology, 27-1, Mizumoto, Muroran, Hokkaido, 050-8585, Japan

    Yoshifumi Okada

Authors
  1. Kentaro Fukuta
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  2. Yoshifumi Okada
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Corresponding author

Correspondence to Yoshifumi Okada .

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Editors and Affiliations

  1. International Association of Engineers, Hung To Road, Unit 1, 1/F, 37-39, Hong Kong, China

    Sio Iong Ao

  2. Computer Science, Tijuana Institute of Technology, Chula Vista, 91909, California, USA

    Oscar Castillo

  3. , Faculty of Information Sciences & Eng., University of Canberra, Canberra, 2601, Aust Capital Terr, Australia

    Xu Huang

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Fukuta, K., Okada, Y. (2012). Informative Gene Discovery in DNA Microarray Data Using Statistical Approach. In: Ao, S., Castillo, O., Huang, X. (eds) Intelligent Control and Innovative Computing. Lecture Notes in Electrical Engineering, vol 110. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1695-1_29

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  • DOI: https://doi.org/10.1007/978-1-4614-1695-1_29

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-1694-4

  • Online ISBN: 978-1-4614-1695-1

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