Mining positive and negative Co-regulation patterns from microarray data

Proceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006

Volumn , Issue , 2006, Pages 86-93

  Zhao, Yuhai ^a   Wang, Guoren ^a   Yin, G ^a   Yu, Ge ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA MINING; GENES; MATHEMATICAL MODELS; TREES (MATHEMATICS);

G-CLUSTER; REGULATION THRESHOLD; WAVE CONSTRAINT THRESHOLD;

MICROARRAYS;

EID: 34547419000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2006.253320     Document Type: Conference Paper

References (15)

1. Y. Cheng and G. M. Church. Biclustering of expression data. In Proc. of ISMB 2000 Conference, pages 93-103, 2000.
2. L. Cheung, K. Y. Yip, D. Cheung, B. Kao, and M. K. Ng. On mining micro-array data by order-preserving submatrix. In Proc. of BMDE 2005 Workshop, 2005.
3. S. Erdal and et al. A time series analysis of microarray data. In Proc. of BIBE conference, pages 366-378, 2004.
4. T. R. Golub, D. K. Slonim, and et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286(5439):531-537, 1999.
5. H.Yu, N.Luscombe, J.Qian, and M.Gerstein. Genomic analysis of gene expression relationships in transcriptional regulatory networks. Trends Genet, 19(8):422-427, 2003.
6. D. Jiang, J. Pei, and et al. Mining coherent gene clusters from gene-sample-time microarray data. In KDD, pages 430-439, 2004.
7. L. Lazzeroni and A. Owen. Plaid models for gene expression data. Internet document, http://wwwstat.stanford.edu/ owen/plaid/, 2000.
8. J. Liu and W. Wang. Op-cluster: Clustering by tendency in high dimensional space. In Proc. of ICDM 2003 Conference, pages 187-194, 2003.
9. J. Liu, J. Yang, and W. Wang. Biclustering in gene expression data by tendency. In Proc. of CSB 2004 Conference, pages 182-193, 2004.
10. E. Segal, B. Taskar, and A. G. et al. Rich probabilistic models for gene expression. In Proc. of ISMB 2001 Conference, pages 243-252, 2001.
11. P. Spellman, G. Sherlock, M. Zhang, and et al. Comprehensive identification of cell cycle-regulated genes of the yeast sacccharomyces cerevisiae by microarray hybridization. Molecular Biology of the Cell, 1(9):3273-3297, 1998.
12. C. Tang, L. Zhang, A. Zhang, and M. Ramanathan. Inter-related two-way clustering: An unsupervised approach for gene expression data analysis. In Proc. Second IEEE Intl Symp. Bioinformalics and Bioeng., pages 41-48, 2001.
13. H. Wang, W. Wang, J. Yang, and P. S. Yu. Clustering by pattern similarity in large data sets. In Proc. of the 2002 ACM SIGMOD Conference, Wisconsin, pages 394-405, 2002.
14. Y. Zhang, H. Zha, and C. H. Chu. A time-series biclustering algorithm for revealing co-regulated genes. In Proc. of IEEE International Conference on Information and Technology: Coding and Computing, ITCC 2005, pages 32-37, 2005.
15. L. Zhao and M. J.Zaki. Tricluster: An effective algorithm for mining coherent clusters in 3d microarray data. In Proc. of SIGMOD 2005 conference, pages 51-62, 2005.