Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data

Dan A. Notterman (Robert Wood Johnson Medical School; Eytan Domany (Weizmann Inst. of Science); Gad Getz; Hilah Gal; Itai Kela; Princeton University)

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Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data

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arxiv physics/0206060 v1 pith:A4FSEKIH submitted 2002-06-17 physics.bio-ph q-bio.GN

Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data

Gad Getz , Hilah Gal , Itai Kela , Eytan Domany (Weizmann Inst. of Science) , Dan A. Notterman (Robert Wood Johnson Medical School , Princeton University) This is my paper

classification physics.bio-ph q-bio.GN

keywords clusteringanalysiscancerdataexpressionbreastcoloncoupled

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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.

Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data

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