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Analyzing 'omics data using hierarchical models

Nature Biotechnology volume 28, pages 337–340 (2010)Cite this article

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Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.

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Figure 1: Hierarchical modeling.

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Authors and Affiliations

  1. Hongkai Ji is in the Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA,

    Hongkai Ji

  2. X. Shirley Liu is in the Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, Massachusetts, USA.,

    X Shirley Liu

Authors
  1. Hongkai Ji
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  2. X Shirley Liu
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Correspondence to Hongkai Ji or X Shirley Liu.

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The authors declare no competing financial interests.

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Ji, H., Liu, X. Analyzing 'omics data using hierarchical models. Nat Biotechnol 28, 337–340 (2010). https://doi.org/10.1038/nbt.1619

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