Chapter 4. Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems

  1. Yan-Qing Zhang2 and
  2. Jagath C. Rajapakse3
  1. Shaoning Pang,
  2. Ilkka Havukkala,
  3. Yingjie Hu and
  4. Nikola Kasabov

Published Online: 21 APR 2008

DOI: 10.1002/9780470397428.ch4

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics

How to Cite

Pang, S., Havukkala, I., Hu, Y. and Kasabov, N. (2008) Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems, in Machine Learning in Bioinformatics (eds Y.-Q. Zhang and J. C. Rajapakse), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470397428.ch4

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. Auckland University of Technology, Auckland, New Zealand

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:

  • bootstrapping consistency method for optimal gene selection;
  • consistency modeling and gene selection methods;
  • iterative bootstrapping method for breast cancer data

Summary

This chapter contains sections titled:

  • Introduction

  • Consistency Modeling and Gene Selection Methods

  • Cancer Diagnosis Experiments

  • Summary

  • Acknowledgment

  • References