Chapter 15. Feature Characterization and Testing of Bidirectional Promoters in the Human Genome—Significance and Applications in Human Genome Research

  1. Yan-Qing Zhang3 and
  2. Jagath C. Rajapakse4
  1. Mary Q. Yang1,
  2. David C. King2 and
  3. Laura L. Elnitski1

Published Online: 21 APR 2008

DOI: 10.1002/9780470397428.ch15

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics

How to Cite

Yang, M. Q., King, D. C. and Elnitski, L. L. (2008) Feature Characterization and Testing of Bidirectional Promoters in the Human Genome—Significance and Applications in Human Genome Research, in Machine Learning in Bioinformatics (eds Y.-Q. Zhang and J. C. Rajapakse), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470397428.ch15

Editor Information

  1. 3

    Georgia State University, Atlanta, Georgia

  2. 4

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

Author Information

  1. 1

    National Institutes of Health, Bethesda, Maryland, USA

  2. 2

    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:

  • feature characterization and testing of bidirectional promoters;
  • bidirectional promoter prevalence in biological pathways;
  • feature-based classification of human bidirectional promoters

Summary

This chapter contains sections titled:

  • Introduction

  • Data and Algorithm

  • Biological Results

  • Feature-Based Classification of Human Bidirectional Promoters

  • Discussion

  • Acknowledgments

  • References