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Bayesian Modeling of Differential Gene Expression

Author

Listed:
  • Alex Lewin
  • Sylvia Richardson
  • Clare Marshall
  • Anne Glazier
  • Tim Aitman

Abstract

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Suggested Citation

  • Alex Lewin & Sylvia Richardson & Clare Marshall & Anne Glazier & Tim Aitman, 2006. "Bayesian Modeling of Differential Gene Expression," Biometrics, The International Biometric Society, vol. 62(1), pages 10-18, March.
  • Handle: RePEc:bla:biomet:v:62:y:2006:i:1:p:10-18:1
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00394.x
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    References listed on IDEAS

    as
    1. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    2. Danh V. Nguyen & A. Bulak Arpat & Naisyin Wang & Raymond J. Carroll, 2002. "DNA Microarray Experiments: Biological and Technological Aspects," Biometrics, The International Biometric Society, vol. 58(4), pages 701-717, December.
    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. Marot, Guillemette & Foulley, Jean-Louis & Jaffrzic, Florence, 2009. "A structural mixed model to shrink covariance matrices for time-course differential gene expression studies," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1630-1638, March.
    2. 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.
    3. Crespi, Catherine M. & Boscardin, W. John, 2009. "Bayesian model checking for multivariate outcome data," Computational Statistics & Data Analysis, Elsevier, vol. 53(11), pages 3765-3772, September.
    4. Bickel David R., 2008. "Correcting the Estimated Level of Differential Expression for Gene Selection Bias: Application to a Microarray Study," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-27, March.

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