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A Statistical Framework to Infer Functional Gene Relationships From Biologically Interrelated Microarray Experiments

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  • Teng, Siew Leng
  • Huang, Haiyan

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  • Teng, Siew Leng & Huang, Haiyan, 2009. "A Statistical Framework to Infer Functional Gene Relationships From Biologically Interrelated Microarray Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 465-473.
    • Handle: RePEc:bes:jnlasa:v:104:i:486:y:2009:p:465-473
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    Cited by:

    1. Anestis Touloumis & Simon Tavaré & John C. Marioni, 2015. "Testing the mean matrix in high-dimensional transposable data," Biometrics, The International Biometric Society, vol. 71(1), pages 157-166, March.
    2. Haiyan Huang & Bin Yu, 2017. "Data Wisdom in Computational Genomics Research," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 646-661, December.
    3. Niu, Lu & Liu, Xiumin & Zhao, Junlong, 2020. "Robust estimator of the correlation matrix with sparse Kronecker structure for a high-dimensional matrix-variate," Journal of Multivariate Analysis, Elsevier, vol. 177(C).
    4. Yin, Jianxin & Li, Hongzhe, 2012. "Model selection and estimation in the matrix normal graphical model," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 119-140.

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