Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer   Gene Expression Data
  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. 
Gad Getz, Hilah Gal, Itai Kela, Eytan Domany (Weizmann Inst. of   Science), Dan A. Notterman (Robert Wood Johnson Medical Sc...