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A Note on Testing and Estimation in Marker-Set Association Study Using Semiparametric Quantile Regression Kernel Machine
Kong et al. (2016, Biometrics 72, 364–371) presented a quantile regression kernel machine (QRKM) test for robust analysis of genetic marker-set association studies. A potential limitation of QRKM is the permutation-based test design may be unscalable for the massive sizes of modern datasets. In this...
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| 出版年: | Biometrics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5932287/ https://ncbi.nlm.nih.gov/pubmed/29096048 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12785 |
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