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Bioinformatics Vol. 19 no. 9 2003
Pages 1079-1089
© 2003 Oxford University Press

Coupled two-way clustering analysis of breast cancer and colon cancer gene expression data

Gad Getz 1, Hilah Gal 1, Itai Kela 1, Daniel A. Notterman 2,3 and Eytan Domany 1,*

1 Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel
2 Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
3 Department of Pediatrics, Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA

Received on May 22, 2002 ; accepted on September 16, 2002

We present and review coupled two-way clustering, a method designed to mine gene expression data. The method identifies submatrices of the total expression matrix, whose clustering analysis reveals partitions of samples (and genes) into biologically relevant classes. We demonstrate, on data from colon and breast cancer, that we are able to identify partitions that elude standard clustering analysis

Availability: Free, at http://ctwc.weizmann.ac.il

Contact: eytan.domany{at}weizmann.ac.il

Supplementary information: http://www.weizmann.ac.il/physics/complex/compphys/bioinfo2/

* To whom correspondence should be addressed.


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