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Where Statistics and Molecular Microarray Experiments Biology Meet

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Statistical Methods for Microarray Data Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 972))

Abstract

This review chapter presents a statistical point of view to microarray experiments with the purpose of understanding the apparent contradictions that often appear in relation to their results. We give a brief introduction of molecular biology for nonspecialists. We describe microarray experiments from their construction and the biological principles the experiments rely on, to data acquisition and analysis. The role of epidemiological approaches and sample size considerations are also discussed.

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Authors and Affiliations

  1. Instituto de Cálculo, Ciudad Universitaria, Buenos Aires, Argentina

    Diana M. Kelmansky

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  1. Diana M. Kelmansky
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Correspondence to Diana M. Kelmansky .

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Editors and Affiliations

  1. School of Medicine & Dentistry, Dept. Biostatistics & Computational, University of Rochester, Elmwood Ave. 601, Rochester, 14642, New York, USA

    Andrei Y. Yakovlev

  2. , Department of Probability and Statistics, Charles University, Sokolovska 83, Prague, 18675, Czech Republic

    Lev Klebanov

  3. State University of New York at Buffalo, Main St - 706 Kimball Tower 3435, Buffalo, 14214, New York, USA

    Daniel Gaile

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Kelmansky, D.M. (2013). Where Statistics and Molecular Microarray Experiments Biology Meet. In: Yakovlev, A., Klebanov, L., Gaile, D. (eds) Statistical Methods for Microarray Data Analysis. Methods in Molecular Biology, vol 972. Humana Press, New York, NY. https://doi.org/10.1007/978-1-60327-337-4_2

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  • DOI: https://doi.org/10.1007/978-1-60327-337-4_2

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-60327-336-7

  • Online ISBN: 978-1-60327-337-4

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