A MOE framework for biclustering of microarray data

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2006, Pages 1154-1157

  Mitra, Sushmita ^a   Banka, Haider ^a   Pal, Sankar K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING; CORRELATION METHODS; DATA MINING; GENE EXPRESSION; INFORMATION RETRIEVAL;

BICLUSTERING; LOCAL SEARCH STRATEGIES; MULTI-OBJECTIVE MODELING;

MICROARRAYS;

EID: 34047213253     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.105     Document Type: Conference Paper

References (12)

1. Special Issue on Bioinformatics. IEEE Computer, 35(7), July 2002.
2. S. Bleuler, A. Prelić, and E. Zitzler. An EA framework for biclustering of gene expression data. In Proceedings of Congress on Evolutionary Computation, pages 166-173, 2004.
3. Y. Cheng and G. M. Church. Biclustering of gene expression data. In Proceedings of ISMB 2000, pages 93-103, 2000.
4. H. Cho, I. S. Dhilon, Y. Guan, and S. Sra. Minimum sum-squared residue co-clustering of gene expression data. In Proceedings of 4th SIAM International Conference on Data Mining, 2004.
5. K. Deb. Multi-Objective Optimization using Evolutionary Algorithms. John Wiley, London, 2001.
6. J. A. Hartigan. Direct clustering of a data matrix. Journal of American Statistical Association, 67(337):123-129, 1972.
7. S. Y. Kung, M.-W. Mak, and I. Tagkopoulos. Multi-metric and multi-substructure biclustering analysis for gene expression data. Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference (CSB'05), 2005.
8. L. Lazzeroni and A. Owen. Plaid models for gene expression data. Statistica Sinica, 12:61-86, 2002.
9. S. C. Madeira and A. L. Oliveira. Biclustering algorithms for biological data analysis: A survey. IEEE Transactions on Computational Biology and Bioinformatics, 1:24-45, 2004.
10. A. Tanay, R. Sharan, and R. Shamir. Discovering statistically significant biclusters in gene expression data. Bioinformatics, 18:5136-5144, 2002.
11. J. Yang, H. Wang, W. Wang, and P. Yu. Enhanced biclustering on expression data. In Proceedings of the Third IEEE Symposium on Bioinformatics and Bio engineering (BIBE'03), pages 1-7, 2003.
12. Z. Zhang, A. Teo, B. C. Ooi, and K. L. Tan. Mining deterministic biclusters in gene expression data. In Proceedings of the Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04), pages 283-292, 2004.