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Design Considerations for Efficient and Effective Microarray Studies

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  • M. Kathleen Kerr

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  • M. Kathleen Kerr, 2003. "Design Considerations for Efficient and Effective Microarray Studies," Biometrics, The International Biometric Society, vol. 59(4), pages 822-828, December.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:4:p:822-828
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2003.00096.x
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    References listed on IDEAS

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    1. Dudoit S. & Fridlyand J. & Speed T. P, 2002. "Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 77-87, March.
    2. Cui Xiangqin & Kerr M. Kathleen & Churchill Gary A., 2003. "Transformations for cDNA Microarray Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 2(1), pages 1-22, June.
    3. John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498, August.
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    Cited by:

    1. Oskar Bruning & Wendy Rodenburg & Paul F K Wackers & Conny van Oostrom & Martijs J Jonker & Rob J Dekker & Han Rauwerda & Wim A Ensink & Annemieke de Vries & Timo M Breit, 2016. "Confounding Factors in the Transcriptome Analysis of an In-Vivo Exposure Experiment," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-23, January.
    2. Kerr Kathleen F., 2012. "Optimality Criteria for the Design of 2-Color Microarray Studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(1), pages 1-9, January.
    3. Chao Chen & Kay Grennan & Judith Badner & Dandan Zhang & Elliot Gershon & Li Jin & Chunyu Liu, 2011. "Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-10, February.
    4. Frédéric Reynier & Fabien Petit & Malick Paye & Fanny Turrel-Davin & Pierre-Emmanuel Imbert & Arnaud Hot & Bruno Mougin & Pierre Miossec, 2011. "Importance of Correlation between Gene Expression Levels: Application to the Type I Interferon Signature in Rheumatoid Arthritis," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-8, October.
    5. R. A. Bailey, 2007. "Designs for two‐colour microarray experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(4), pages 365-394, August.
    6. Landgrebe, Jobst & Bretz, Frank & Brunner, Edgar, 2006. "Efficient design and analysis of two colour factorial microarray experiments," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 499-517, January.
    7. Richard G. Jarrett & Katya Ruggiero, 2008. "Design and Analysis of Two-Phase Experiments for Gene Expression Microarrays—Part I," Biometrics, The International Biometric Society, vol. 64(1), pages 208-216, March.
    8. Zhang Runchu & Mukerjee Rahul, 2013. "Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedure," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(4), pages 489-503, August.
    9. Agnes Herzberg & Richard Jarrett, 2007. "A-Optimal Block Designs with Additional Singly Replicated Treatments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(1), pages 61-70.

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