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Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression
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| Zeitschriftentitel: | Processes |
|---|---|
| Personen und Körperschaften: | |
| In: | Processes, 7, 2019, 2, S. 79 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
|
| Schlagwörter: |
| author_facet |
Zhan, Xiang Zhan, Xiang |
|---|---|
| author |
Zhan, Xiang |
| spellingShingle |
Zhan, Xiang Processes Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression Process Chemistry and Technology Chemical Engineering (miscellaneous) Bioengineering |
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zhan, xiang |
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Zhan, Xiang 2227-9717 MDPI AG Process Chemistry and Technology Chemical Engineering (miscellaneous) Bioengineering http://dx.doi.org/10.3390/pr7020079 <jats:p>The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R 2 (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).</jats:p> Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression Processes |
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| title |
Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
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Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_full |
Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_fullStr |
Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_full_unstemmed |
Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_short |
Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_sort |
relationship between mirkat and coefficient of determination in similarity matrix regression |
| topic |
Process Chemistry and Technology Chemical Engineering (miscellaneous) Bioengineering |
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http://dx.doi.org/10.3390/pr7020079 |
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2019 |
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79 |
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<jats:p>The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R 2 (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).</jats:p> |
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| description | <jats:p>The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R 2 (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).</jats:p> |
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| spelling | Zhan, Xiang 2227-9717 MDPI AG Process Chemistry and Technology Chemical Engineering (miscellaneous) Bioengineering http://dx.doi.org/10.3390/pr7020079 <jats:p>The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R 2 (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).</jats:p> Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression Processes |
| spellingShingle | Zhan, Xiang, Processes, Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression, Process Chemistry and Technology, Chemical Engineering (miscellaneous), Bioengineering |
| title | Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_full | Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_fullStr | Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_full_unstemmed | Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_short | Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| title_sort | relationship between mirkat and coefficient of determination in similarity matrix regression |
| title_unstemmed | Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression |
| topic | Process Chemistry and Technology, Chemical Engineering (miscellaneous), Bioengineering |
| url | http://dx.doi.org/10.3390/pr7020079 |