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

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dc.creatorGetz, Gad
dc.creatorGal, Hilah
dc.creatorKela, Itai
dc.creatorDomany, Eytan
dc.creatorNotterman, Dan A.
dc.date2002-06-17
dc.date.accessioned2026-07-07T05:47:43Z
dc.date.available2026-07-07T05:47:43Z
dc.descriptionWe 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.
dc.description9 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/physics/0206060
dc.identifierhttp://arxiv.org/abs/physics/0206060
dc.identifierBioinformatics 19, 1079 (2003).
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84761
dc.subjectBiological Physics
dc.subjectGenomics
dc.titleCoupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data
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