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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Autores principales: Wei Bai, Mei Dong, Longhai Li, Cindy Feng, Wei Xu
Formato: article
Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/f4aa6b907cfa402ea9f39d22418ec6df
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