BZINB Model-Based Pathway Analysis and Module Identification Facilitates Integration of Microbiome and Metabolome Data.

Lin, Bridget M; Cho, Hunyong; Liu, Chuwen; Roach, Jeff; Ribeiro, Apoena Aguiar; Divaris, Kimon; Wu, Di

Lin, Bridget M; Cho, Hunyong; Liu, Chuwen; Roach, Jeff; Ribeiro, Apoena Aguiar; Divaris, Kimon; Wu, Di.

Afiliación

Lin BM; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Cho H; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Liu C; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Roach J; Research Computing, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Ribeiro AA; Division of Diagnostic Sciences, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Divaris K; Division of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Wu D; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Microorganisms ; 11(3)2023 Mar 16.

Article en En | MEDLINE | ID: mdl-36985339

Palabras clave

caries; clustering; correlation; counts; metabolomics; microbiome; multi-omics; network; pathways; zero-inflation

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

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