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Article: Bayesian models for gene expression with DNA microarray data.(Statistical Data Included)
- Article from:
- Journal of the American Statistical Association
- Article date:
- March 1, 2002
- Author:
CopyrightCOPYRIGHT 2002 American Statistical Association. 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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1. INTRODUCTION
DNA microarrays and other high-throughput methods for analyzing complex nucleic acid sequences now make it possible to rapidly, efficiently, and accurately measure the levels of virtually all of the genes expressed in a biological sample. Two of the critical issues that arise when examining DNA microarray data are (1) determination of which genes best discriminate between the different types of tissue and (2) characterization of expression patterns in tumor tissues. For (1), because there are so many genes in the human genome, it is of critical importance to possibly identify a small subset of genes that best discriminate between normal and tumor ...