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Optimal Designs for Treatment-Control Comparisons in Microarray Experiments

In: Statistical Inference, Econometric Analysis and Matrix Algebra

Author

Listed:
  • Joachim Kunert

    (Technische Universität Dortmund, Fakultät Statistik)

  • R. J. Martin

    (Wirksworth)

  • Sabine Rothe

    (Technische Universität Dortmund, Fakultät Statistik)

Abstract

Two-colour microarray experiments form an important tool in modern molecular biology. But they are very expensive and so careful planning of experiments is necessary. In this paper we determine optimal approximate designs for microarray experiments when only treatment-control comparisons are of interest. Based on these results we construct near optimal finite designs and compare their efficiencies with those of the corresponding star designs, which are often used in microarray experiments.

Suggested Citation

  • Joachim Kunert & R. J. Martin & Sabine Rothe, 2009. "Optimal Designs for Treatment-Control Comparisons in Microarray Experiments," Springer Books, in: Bernhard Schipp & Walter Kräer (ed.), Statistical Inference, Econometric Analysis and Matrix Algebra, pages 115-124, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2121-5_8
    DOI: 10.1007/978-3-7908-2121-5_8
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