15. TriCluster: Mining Coherent Clusters in Three-Dimensional Microarray Data

  1. Xiaohua Hu2 and
  2. Yi Pan3
  1. Lizhuang Zhao and
  2. Mohammed J. Zaki

Published Online: 23 MAY 2007

DOI: 10.1002/9780470124642.ch15

Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications

Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications

How to Cite

Zhao, L. and Zaki, M. J. (2007) TriCluster: Mining Coherent Clusters in Three-Dimensional Microarray Data, in Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (eds X. Hu and Y. Pan), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470124642.ch15

Editor Information

  1. 2

    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA

  2. 3

    Department of Computer Science, Georgia State University, Atlanta, GA 30302-4110, USA

Author Information

  1. Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA

Publication History

  1. Published Online: 23 MAY 2007
  2. Published Print: 25 MAY 2007

ISBN Information

Print ISBN: 9780471777960

Online ISBN: 9780470124642

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Keywords:

  • TRICLUSTER - mining coherent clusters;
  • biCluster and depth-first search (DFS);
  • triCluster first and range multigraph

Summary

This chapter contains sections titled:

  • Preliminary Concepts

  • Related Work

  • The TRICLUSTER Algorithm

  • Experiments

  • Conclusions

  • Acknowledgments

  • References