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An Enhanced Quantile Approach for Assessing Differential Gene Expressions

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  • Huixia Wang
  • Xuming He

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  • Huixia Wang & Xuming He, 2008. "An Enhanced Quantile Approach for Assessing Differential Gene Expressions," Biometrics, The International Biometric Society, vol. 64(2), pages 449-457, June.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:2:p:449-457
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00903.x
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    References listed on IDEAS

    as
    1. John D. Storey, 2007. "The optimal discovery procedure: a new approach to simultaneous significance testing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(3), pages 347-368, June.
    2. Zhijin Wu & Rafael A. Irizarry & Robert Gentleman & Francisco Martinez-Murillo & Forrest Spencer, 2004. "A Model-Based Background Adjustment for Oligonucleotide Expression Arrays," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 909-917, December.
    3. Wang, Huixia & He, Xuming, 2007. "Detecting Differential Expressions in GeneChip Microarray Studies: A Quantile Approach," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 104-112, March.
    4. 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. Vinciotti Veronica & Yu Keming, 2009. "M-quantile Regression Analysis of Temporal Gene Expression Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-22, September.

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