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Article: Classification and selection of biomarkers in genomic data using LASSO.(RESEARCH ARTICLE)(includes statistical tables)(Clinical report)
- Article from:
- Journal of Biomedicine and Biotechnology
- Article date:
- January 1, 2005
- Author:
CopyrightCOPYRIGHT 2005 Hindawi Publishing Corp. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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High-throughput gene expression technologies such as microarrays have been utilized in a variety of scientific applications. Most of the work has been done on assessing univariate associations between gene expression profiles with clinical outcome (variable selection) or on developing classification procedures with gene expression data (supervised learning). We consider a hybrid variable selection/classification approach that is based on linear combinations of the gene expression profiles that maximize an accuracy measure summarized using the receiver operating characteristic curve. Under a specific probability model, this leads to the consideration of linear discriminant ...