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A Bayesian Model for Cross-Study Differential Gene Expression

Author

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  • Scharpf, Robert B.
  • Tjelmeland, HÃ¥kon
  • Parmigiani, Giovanni
  • Nobel, Andrew B.

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Suggested Citation

  • Scharpf, Robert B. & Tjelmeland, HÃ¥kon & Parmigiani, Giovanni & Nobel, Andrew B., 2009. "A Bayesian Model for Cross-Study Differential Gene Expression," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1295-1310.
    • Handle: RePEc:bes:jnlasa:v:104:i:488:y:2009:p:1295-1310
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2009.ap07611
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    Cited by:

    1. Xin Victoria Wang & Roel G W Verhaak & Elizabeth Purdom & Paul T Spellman & Terence P Speed, 2011. "Unifying Gene Expression Measures from Multiple Platforms Using Factor Analysis," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-14, March.
    2. Tianzhou Ma & Faming Liang & George C. Tseng, 2017. "Biomarker detection and categorization in ribonucleic acid sequencing meta-analysis using Bayesian hierarchical models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 847-867, August.
    3. Lingyan Ruan & Ming Yuan, 2011. "An Empirical Bayes' Approach to Joint Analysis of Multiple Microarray Gene Expression Studies," Biometrics, The International Biometric Society, vol. 67(4), pages 1617-1626, December.

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