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.
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Schimek, M.G., Schmidt, W. (2004). An Automatic Thresholding Approach to Gene Expression Analysis. In: Antoch, J. (eds) COMPSTAT 2004 — Proceedings in Computational Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2656-2_35
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DOI: https://doi.org/10.1007/978-3-7908-2656-2_35
Publisher Name: Physica, Heidelberg
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