27. Maximum Entropy Method for Composition Vector Method

  1. Mourad Elloumi2 and
  2. Albert Y. Zomaya3
  1. Raymond H.-F. Chan,
  2. Roger W. Wang and
  3. Jeff C.-F. Wong

Published Online: 23 DEC 2010

DOI: 10.1002/9780470892107.ch27

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

How to Cite

Chan, R. H.-F., Wang, R. W. and Wong, J. C.-F. (2011) Maximum Entropy Method for Composition Vector Method, in Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (eds M. Elloumi and A. Y. Zomaya), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470892107.ch27

Editor Information

  1. 2

    Unit of Technologies of Information and Communication (UTIC) and University of Tunis-El Manar, Tunisia

  2. 3

    School of Information Technologies, The University of Sydney, Australia

Author Information

  1. Department of Mathematics, The Chinese University of Hong Kong, Shatin, Hong Kong, China

Publication History

  1. Published Online: 23 DEC 2010
  2. Published Print: 18 JAN 2011

ISBN Information

Print ISBN: 9780470505199

Online ISBN: 9780470892107

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Keywords:

  • maximum entropy method for composition vector method - alignment-based methods, using dynamic programming (DP) method to “align” sequences, similarity and dissimilarity after alignment;
  • sequence comparison methods, two categories - alignment-based and alignment-free;
  • phylogenetic relationship among mammals - long-standing problem in area of phylogeny and evolution

Summary

This chapter contains sections titled:

  • Introduction

  • Models and Entropy Optimization

  • Application and Dicussion

  • Concluding Remarks

  • References