Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data

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 uniformly...

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Detalles Bibliográficos
Autores principales: Bai, Wei, Dong, Mei, Li, Longhai, Feng, Cindy, Xu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620156/
https://www.ncbi.nlm.nih.gov/pubmed/34823466
http://dx.doi.org/10.1186/s12859-021-04371-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620156/
https://www.ncbi.nlm.nih.gov/pubmed/34823466
http://dx.doi.org/10.1186/s12859-021-04371-6

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