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A comparison of probe-level and probeset models for small-sample gene expression data

Authors:	John R Stevens Jason L Bell Kenneth I Aston Kenneth L White

Institution:	(1) Department of Mathematics and Statistics, Utah State University, Logan, UT 84322, USA;(2) National Agricultural Statistics Service, Columbia, MO 65203, USA;(3) Andrology and IVF Laboratories, University of Utah School of Medicine, Salt Lake City, UT 84108, USA;(4) Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, UT 84322, USA;(5) Center for Integrated BioSystems, Utah State University, Logan, UT 84322, USA

Abstract:	Background Statistical methods to tentatively identify differentially expressed genes in microarray studies typically assume larger sample sizes than are practical or even possible in some settings.

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