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An Empirical Bayesian Approach for Identifying Differential Coexpression in High-Throughput Experiments

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  • John A. Dawson
  • Christina Kendziorski

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  • John A. Dawson & Christina Kendziorski, 2012. "An Empirical Bayesian Approach for Identifying Differential Coexpression in High-Throughput Experiments," Biometrics, The International Biometric Society, vol. 68(2), pages 455-465, June.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:2:p:455-465
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01688.x
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    References listed on IDEAS

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    1. 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. Kinzy Tyler G. & Starr Timothy K. & Tseng George C. & Ho Yen-Yi, 2019. "Meta-analytic framework for modeling genetic coexpression dynamics," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(1), pages 1-13, February.
    2. Zhen Yang & Yen‐Yi Ho, 2022. "Modeling dynamic correlation in zero‐inflated bivariate count data with applications to single‐cell RNA sequencing data," Biometrics, The International Biometric Society, vol. 78(2), pages 766-776, June.
    3. Alfonso Monaco & Nicola Amoroso & Loredana Bellantuono & Eufemia Lella & Angela Lombardi & Anna Monda & Andrea Tateo & Roberto Bellotti & Sabina Tangaro, 2019. "Shannon entropy approach reveals relevant genes in Alzheimer’s disease," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-29, December.

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