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Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples

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  • Raphael Gottardo
  • Adrian E. Raftery
  • Ka Yee Yeung
  • Roger E. Bumgarner

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  • Raphael Gottardo & Adrian E. Raftery & Ka Yee Yeung & Roger E. Bumgarner, 2006. "Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples," Biometrics, The International Biometric Society, vol. 62(1), pages 10-18, March.
    • Handle: RePEc:bla:biomet:v:62:y:2006:i:1:p:10-18:2
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00397.x
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    References listed on IDEAS

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    1. Mahlet G. Tadesse & Joseph G. Ibrahim & George L. Mutter, 2003. "Identification of Differentially Expressed Genes in High-Density Oligonucleotide Arrays Accounting for the Quantification Limits of the Technology," Biometrics, The International Biometric Society, vol. 59(3), pages 542-554, September.
    2. J. Besag & D. Higdon, 1999. "Bayesian analysis of agricultural field experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(4), pages 691-746.
    3. Efron, Bradley, 2004. "Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 96-104, January.
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    Cited by:

    1. Elisa C. J. Maria & Isabel Salazar & Luis Sanz & Miguel A. Gómez-Villegas, 2020. "Using Copula to Model Dependence When Testing Multiple Hypotheses in DNA Microarray Experiments: A Bayesian Approximation," Mathematics, MDPI, vol. 8(9), pages 1-22, September.
    2. Hironori Fujisawa & Takayuki Sakaguchi, 2012. "Optimal significance analysis of microarray data in a class of tests whose null statistic can be constructed," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 280-300, June.
    3. Grisel Maribel Britos & Silvia María Ojeda, 2019. "Robust estimation for spatial autoregressive processes based on bounded innovation propagation representations," Computational Statistics, Springer, vol. 34(3), pages 1315-1335, September.
    4. Hong, Zhaoping & Lian, Heng, 2012. "BOPA: A Bayesian hierarchical model for outlier expression detection," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4146-4156.
    5. Haibing Zhao & Xinping Cui, 2020. "Constructing confidence intervals for selected parameters," Biometrics, The International Biometric Society, vol. 76(4), pages 1098-1108, December.
    6. Joaquim Casellas & Luis Varona, 2012. "Modeling Skewness in Human Transcriptomes," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-5, June.

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