Cargando…
Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data
Typical data in a microbiome study consist of the operational taxonomic unit (OTU) counts that have the characteristic of excess zeros, which are often ignored by investigators. In this paper, we compare the performance of different competing methods to model data with zero inflated features through...
Autores principales: | Xu, Lizhen, Paterson, Andrew D., Turpin, Williams, Xu, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493133/ https://www.ncbi.nlm.nih.gov/pubmed/26148172 http://dx.doi.org/10.1371/journal.pone.0129606 |
Ejemplares similares
-
Compositional zero-inflated network estimation for microbiome data
por: Ha, Min Jin, et al.
Publicado: (2020) -
Zero-Inflated gaussian mixed models for analyzing longitudinal microbiome data
por: Zhang, Xinyan, et al.
Publicado: (2020) -
A comparison of zero-inflated and hurdle models for modeling zero-inflated count data
por: Feng, Cindy Xin
Publicado: (2021) -
Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data
por: Bai, Wei, et al.
Publicado: (2021) -
Structural zeroes and zero-inflated models
por: HE, Hua, et al.
Publicado: (2014)