Predicting foodborne pathogens and probiotics taxa within poultry-related microbiomes using a machine learning approach.

Ayoola, Moses B; Pillai, Nisha; Nanduri, Bindu; Rothrock, Michael J; Ramkumar, Mahalingam

Ayoola, Moses B; Pillai, Nisha; Nanduri, Bindu; Rothrock, Michael J; Ramkumar, Mahalingam.

Afiliación

Ayoola MB; Geosystems Research Institute, Mississippi State University, Starkville, MS, 39762, USA.
Pillai N; Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, MS, 39762, USA.
Nanduri B; Department of Computer Science and Engineering, Mississippi State University, Starkville, MS, 39762, USA.
Rothrock MJ; Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, MS, 39762, USA.
Ramkumar M; Egg Safety and Quality Research Unit, USDA-ARS U.S. National Poultry Research Center, Athens, GA 30605, USA.

Anim Microbiome ; 5(1): 57, 2023 Nov 15.

Article en En | MEDLINE | ID: mdl-37968727

Palabras clave

Foodborne pathogens; Machine learning; Microbiome; Pastured poultry; Probiotics

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

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