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Cancer characterization and feature set extraction by discriminative margin clustering
Authors:Kamesh?Munagala  author-information"  >  author-information__contact u-icon-before"  >  mailto:kamesh@cmgm.stanford.edu"   title="  kamesh@cmgm.stanford.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Robert?Tibshirani,Patrick?O?Brown
Affiliation:(1) Department of Biochemistry, Stanford University School of Medicine, 466 Gates Computer Science, Stanford, CA 94305, USA;(2) Department of Health Research and Policy, and Department of Statistics, HRP T101C, Stanford, CA 94305, USA;(3) Department of Biochemistry Stanford University School of Medicine, , Beckman B439, Stanford, CA 94305, USA
Abstract:

Background  

A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or type of cancer, from all normal cells and tissues.
Keywords:
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