Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency.

Yue, Ye; Read, Timothy D; Fedirko, Veronika; Satten, Glen A; Hu, Yi-Juan

Yue, Ye; Read, Timothy D; Fedirko, Veronika; Satten, Glen A; Hu, Yi-Juan.

Afiliación

Yue Y; Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, 30322, USA.
Read TD; Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Fedirko V; Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Satten GA; Department of Epidemiology, Emory University, Atlanta, GA, 30322, USA.
Hu YJ; Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, 30322, USA.

Res Sq ; 2023 Oct 03.

Article en En | MEDLINE | ID: mdl-37886529

Palabras clave

LOCOM; differential abundance; experimental bias; global test; microbiome; partial overlap

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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