Chapter 20. An Information Fusion Framework for Biomedical Informatics

  1. Yan-Qing Zhang2 and
  2. Jagath C. Rajapakse3
  1. Srivatsava R. Ganta,
  2. Anand Narasimhamurthy,
  3. Jyotsna Kasturi and
  4. Raj Acharya

Published Online: 21 APR 2008

DOI: 10.1002/9780470397428.ch20

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics

How to Cite

Ganta, S. R., Narasimhamurthy, A., Kasturi, J. and Acharya, R. (2008) An Information Fusion Framework for Biomedical Informatics, in Machine Learning in Bioinformatics (eds Y.-Q. Zhang and J. C. Rajapakse), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470397428.ch20

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. Pennsylvania State University, University Park, Pennsylvania, 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:

  • information fusion framework for biomedical informatics;
  • correspondence analysis on gene expression data;
  • clustering of gene expression and sequence data

Summary

This chapter contains sections titled:

  • Introduction

  • Motivation

  • Platform

  • Conclusion

  • References