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Comparative Study
. 2003 Jun 12;19(9):1079-89.
doi: 10.1093/bioinformatics/btf876.

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

Gad Getz  1 , Hilah Gal, Itai Kela, Daniel A Notterman, Eytan Domany
Affiliations
Comparative Study

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

Gad Getz et al. Bioinformatics. .

Abstract

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..

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

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