Chapter 18. Machine Learning Applications in SNP–Disease Association Study

  1. Yan-Qing Zhang2 and
  2. Jagath C. Rajapakse3
  1. Pritam Chanda,
  2. Aidong Zhang and
  3. Murali Ramanathan

Published Online: 21 APR 2008

DOI: 10.1002/9780470397428.ch18

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics

How to Cite

Chanda, P., Zhang, A. and Ramanathan, M. (2008) Machine Learning Applications in SNP–Disease Association Study, in Machine Learning in Bioinformatics (eds Y.-Q. Zhang and J. C. Rajapakse), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470397428.ch18

Editor Information

  1. 2

    Georgia State University, Atlanta, Georgia

  2. 3

    School of Computer Engineering, and The Bioinformatics Research Center, Nanyang Technological University, Nanyang, Singapore

Author Information

  1. The State University of New York, Buffalo, New York, USA

Publication History

  1. Published Online: 21 APR 2008
  2. Published Print: 12 NOV 2008

Book Series:

  1. Bioinformatics: Computational Techniques and Engineering

Book Series Editors:

  1. Professor Yi Pan and
  2. Professor Albert Y. Zomaya

ISBN Information

Print ISBN: 9780470116623

Online ISBN: 9780470397428

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Keywords:

  • machine learning applications in SNP–disease association study;
  • entropy-based approach in choosing tag SNPs;
  • SNP-based disease association study

Summary

This chapter contains sections titled:

  • Tag SNP Selection

  • SNP-Based Disease Association Study

  • Conclusion

  • References