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Modeling Liquid Association

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  • Yen-Yi Ho
  • Giovanni Parmigiani
  • Thomas A. Louis
  • Leslie M. Cope

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Suggested Citation

  • Yen-Yi Ho & Giovanni Parmigiani & Thomas A. Louis & Leslie M. Cope, 2011. "Modeling Liquid Association," Biometrics, The International Biometric Society, vol. 67(1), pages 133-141, March.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:1:p:133-141
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01440.x
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    Cited by:

    1. Zichen Ma & Shannon W. Davis & Yen‐Yi Ho, 2023. "Flexible copula model for integrating correlated multi‐omics data from single‐cell experiments," Biometrics, The International Biometric Society, vol. 79(2), pages 1559-1572, June.
    2. Tianwei Yu, 2018. "A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data," PLOS Computational Biology, Public Library of Science, vol. 14(8), pages 1-22, August.
    3. Zhou, Kaile & Fu, Chao & Yang, Shanlin, 2016. "Big data driven smart energy management: From big data to big insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 215-225.
    4. Carrie Armel, K. & Gupta, Abhay & Shrimali, Gireesh & Albert, Adrian, 2013. "Is disaggregation the holy grail of energy efficiency? The case of electricity," Energy Policy, Elsevier, vol. 52(C), pages 213-234.
    5. 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.
    6. Sui, Daniel, 2012. "Looking through Hägerstrand’s dual vistas: towards a unifying framework for time geography," Journal of Transport Geography, Elsevier, vol. 23(C), pages 5-16.

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