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A Bayesian Mixture Model for Partitioning Gene Expression Data

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  • Chuan Zhou
  • Jon Wakefield

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Suggested Citation

  • Chuan Zhou & Jon Wakefield, 2006. "A Bayesian Mixture Model for Partitioning Gene Expression Data," Biometrics, The International Biometric Society, vol. 62(2), pages 515-525, June.
  • Handle: RePEc:bla:biomet:v:62:y:2006:i:2:p:515-525
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00492.x
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    References listed on IDEAS

    as
    1. Matthew Stephens, 2000. "Dealing with label switching in mixture models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 795-809.
    2. Peter Lenk & Wayne DeSarbo, 2000. "Bayesian inference for finite mixtures of generalized linear models with random effects," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 93-119, March.
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    Cited by:

    1. Gard, Charlotte C. & Brown, Elizabeth R., 2015. "A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions," Computational Statistics & Data Analysis, Elsevier, vol. 87(C), pages 73-83.

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