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An Automatic Thresholding Approach to Gene Expression Analysis

In: COMPSTAT 2004 — Proceedings in Computational Statistics

Author

Listed:
  • 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)

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.

Suggested Citation

  • Michael G. Schimek & Wolfgang Schmidt, 2004. "An Automatic Thresholding Approach to Gene Expression Analysis," Springer Books, in: Jaromir Antoch (ed.), COMPSTAT 2004 — Proceedings in Computational Statistics, pages 429-440, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2656-2_35
    DOI: 10.1007/978-3-7908-2656-2_35
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