dorsal/arxiv
View SchemaCoupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data
| Authors | Gad Getz, Hilah Gal, Itai Kela, Eytan Domany, Dan A. Notterman |
|---|---|
| Categories | |
| ArXiv ID | physics/0206060 |
| URL | https://arxiv.org/abs/physics/0206060 |
| Journal | Bioinformatics 19, 1079 (2003). |
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.
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"abstract": "We present and review Coupled Two Way Clustering, a method designed to mine\ngene expression data. The method identifies submatrices of the total expression\nmatrix, whose clustering analysis reveals partitions of samples (and genes)\ninto biologically relevant classes. We demonstrate, on data from colon and\nbreast cancer, that we are able to identify partitions that elude standard\nclustering analysis.",
"arxiv_id": "physics/0206060",
"authors": [
"Gad Getz",
"Hilah Gal",
"Itai Kela",
"Eytan Domany",
"Dan A. Notterman"
],
"categories": [
"physics.bio-ph",
"q-bio.GN"
],
"journal_ref": "Bioinformatics 19, 1079 (2003).",
"title": "Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data",
"url": "https://arxiv.org/abs/physics/0206060"
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