An Automatic Thresholding Approach to Gene Expression Analysis

Michael G. Schimek () and Wolfgang Schmidt
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Michael G. Schimek: Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation
Wolfgang Schmidt: Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation

A chapter in COMPSTAT 2004 — Proceedings in Computational Statistics, 2004, pp 429-440 from Springer

Abstract: Abstract The statistical problems of gene expression analysis based on the two popular array readout methods, cDNA and Affymetrix, are addressed. As an alternative to multiple frequentist statistical testing the empirical Bayes methodology is introduced. An empirical Bayes thresholding approach is described and its relevance for microarray data analysis is shown. Finally two data sets, one of cDNA-type and the other of Affymetrix-type, are analyzed with the new automatic and computationally efficient thresholding technique.

Keywords: Empirical Bayes; microarray; multiple testing; R; sparse sequence; statistical computing; threshold (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2656-2_35

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DOI: 10.1007/978-3-7908-2656-2_35

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