Optimal Designs for Treatment-Control Comparisons in Microarray Experiments

Joachim Kunert (), R. J. Martin () and Sabine Rothe ()
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Joachim Kunert: Technische Universität Dortmund, Fakultät Statistik
R. J. Martin: Wirksworth
Sabine Rothe: Technische Universität Dortmund, Fakultät Statistik

A chapter in Statistical Inference, Econometric Analysis and Matrix Algebra, 2009, pp 115-124 from Springer

Abstract: 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.

Keywords: Optimal Design; Equivalence Class; Microarray Experiment; Information Matrix; Loop Design (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2121-5_8

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DOI: 10.1007/978-3-7908-2121-5_8

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