Design and Analysis of Screening Experiments with Microarrays

Paola Sebastiani (), Joanna Jeneralczuk () and Marco F. Ramoni ()
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Paola Sebastiani: Boston University School of Public Health, Department of Biostatistics
Joanna Jeneralczuk: University of Massachusetts, Department of Mathematics and Statistics
Marco F. Ramoni: Harvard Medical School, Harvard Partners Center for Genetics and Genomics

Chapter 5 in Screening, 2006, pp 115-138 from Springer

Abstract: Abstract Microarrays are an important exploratory tool in many screening experiments. There are multiple objectives for these experiments including the identification of genes that change expression under two or more biological conditions, the discovery of new cellular or molecular functions of genes, and the definition of a molecular profile that characterizes different biological conditions underlying, for example, normal or tumor cells. The technology of microarrays is first described, followed by some simple comparative experiments and some of the statistical techniques that are used for their analysis. A very important question arising in the design of screening experiments with microarrays is the choice of the sample size and we describe two approaches to sample size determination. The first approach is based on the concept of reproducibility, and the second uses a Bayesian decisiontheoretic criterion to make a trade-off between information gain and experiment costs. Finally some of the open problems in the design and analysis of microarray experiments are discussed.

Keywords: Posterior Probability; Gene Expression Data; Bayesian Network; Microarray Experiment; Information Gain (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-28014-1_5

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DOI: 10.1007/0-387-28014-6_5

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