MiRKAT: kernel machine regression-based global association tests for the microbiome.

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Title: MiRKAT: kernel machine regression-based global association tests for the microbiome.
Authors: Wilson N; Department of Mathematics and Statistics, Williams College, Williamstown, MA 01267, USA., Zhao N; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA., Zhan X; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA., Koh H; Department of Applied Mathematics and Statistics, The State University of New York, Korea (SUNY Korea), Incheon 21985, South Korea., Fu W; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98121, USA., Chen J; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA., Li H; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA., Wu MC; Public Health Sciences Division, Biostatistics and Biomathematics Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA., Plantinga AM; Department of Mathematics and Statistics, Williams College, Williamstown, MA 01267, USA.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2021 Jul 12; Vol. 37 (11), pp. 1595-1597.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wilson+N%22">Wilson N</searchLink>; Department of Mathematics and Statistics, Williams College, Williamstown, MA 01267, USA.<br /><searchLink fieldCode="AU" term="%22Zhao+N%22">Zhao N</searchLink>; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.<br /><searchLink fieldCode="AU" term="%22Zhan+X%22">Zhan X</searchLink>; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA.<br /><searchLink fieldCode="AU" term="%22Koh+H%22">Koh H</searchLink>; Department of Applied Mathematics and Statistics, The State University of New York, Korea (SUNY Korea), Incheon 21985, South Korea.<br /><searchLink fieldCode="AU" term="%22Fu+W%22">Fu W</searchLink>; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98121, USA.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.<br /><searchLink fieldCode="AU" term="%22Wu+MC%22">Wu MC</searchLink>; Public Health Sciences Division, Biostatistics and Biomathematics Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.<br /><searchLink fieldCode="AU" term="%22Plantinga+AM%22">Plantinga AM</searchLink>; Department of Mathematics and Statistics, Williams College, Williamstown, MA 01267, USA.
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        Value: 10.1093/bioinformatics/btaa951
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              Text: 2021 Jul 12
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