An improved biclustering method for analyzing gene expression profiles

International Journal on Artificial Intelligence Tools

Volumn 14, Issue 5, 2005, Pages 771-789

  Yang, Jiong ^a   Wang, Haixun ^b   Wang, Wei ^c   Yu, Philip S ^b  

^a CASE WESTERN RESERVE UNIVERSITY   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33746228056     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213005002387     Document Type: Article

References (16)

1. Y. Cheng and G. Church, Biclustering of expression data, Proc. ISMB, (2000).
2. Yeast Micro Data Set, available at http://arep.med.harvard.edu/ network_discovery.
3. J. Aach, W. Rindone and G. Church, Systematic management and analysis of yeast gene expression data, Genome Research, 10(2000), 431-445.
4. A. Ben-Dor and Z. Yakhini, Clustering gene expression patterns, Proc. ACM RECOMB, (1999), 33-43.
5. A. Ben-Dor, N. Friedman and Z. Yakhini, Class discovery in gene expression data, Proc. ACM RECOMB, (2001), 31-38.
6. H. Bussemaker, H. Li and E. Siggia, Regulatory element detection using correlation with expression, Nature Genetics, 27(2001), 167-171.
7. A. Califano, G. Stolovitzky and Y. Tu, Analysis of gene expression microarrays for phenotype classification, Proc. ISMB, (2000).
8. M. Eisen and P. Brown, DNA arrays for analysis of gene expression, Methods in Enzymology, 303(1999), 179-205.
9. M. Eisen, P. Spellman, P. Brown and D. Botstein, Clustering analysis and display of genome-wide expression patterns, Proc. Natl. Acad. Sci. USA, 96(1998), 14863-14868.
10. L. Kaufmann and P. Rousseuw, Finding groups in data - an introduction to cluster analysis, Wiley series in Probability and Mathematical Statistics, (1990).
11. B. Mirkin, Mathematical Classification and Clustering, (Kluwer, 1996.)
12. E. Segal, B. Taskar, A. Gasch, N. Friedman and D. Koller, Rich probabilistic models for gene expression, Bioinformatics, 17(2001), 243-252.
13. R. Sharan and R. Shamir, CLICK: a clustering algorithm with applications to gene expression analysis, Proc. ISMB, (2000).
14. E. Xing and R. Karp, CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts, Bioinformatics, 17(2001), 306-315.
15. S. Tavazoie, J. Hughes, M. Campbell, R. Cho and G. Church, Systematic determination of genetic network architecture, Nature Genetics, 22(1999), 281-285.
16. A. Zien, T. Aigner, R. Zimmer and T. Lengauer, Centralization: a new method for the normalization of gene expression data, Bioinformatics, 17(2001), 323-331.