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Statistical Approach to DNA Chip Analysis

N.M. Svrakic^*, O. Nesic, M.R.K. Dasu, D. Herndon and J.R. Perez-Polo

^* Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110
Department of Human Biological Chemistry and Genetics, University of Texas Medical Branch, Galveston, Texas 77550
Shriners Hospital for Children, Department of Surgery, University of Texas Medical Branch, Galveston, Texas 77550

Statistical methods for analyzing data from DNA microarray experiments are reviewed. Specifically, we discuss common experimental setups, methods for data reduction and clustering, and analysis of time-course experiments. While early microarray studies focused mainly on the basic methodological and technical aspects of DNA arrays, emphasis has shifted to biological, medical, and clinical applications. We mention several of these and present results from our recent research as illustrative examples. New developments in this ever-growing field are outlined.

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