Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data
Abstract Background For differential abundance analysis, zero-inflated generalized linear models, typically zero-inflated NB models, have been increasingly used to model microbiome and other sequencing count data. A common assumption in estimating the false discovery rate is that the p values are un...
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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
BMC
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/f4aa6b907cfa402ea9f39d22418ec6df |
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