Harmonization of supervised machine learning practices for efficient source attribution of Listeria monocytogenes based on genomic data

BACKGROUND: Genomic data-based machine learning tools are promising for real-time surveillance activities performing source attribution of foodborne bacteria such as Listeria monocytogenes. Given the heterogeneity of machine learning practices, our aim was to identify those influencing the source pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Castelli, Pierluigi, De Ruvo, Andrea, Bucciacchio, Andrea, D’Alterio, Nicola, Cammà, Cesare, Di Pasquale, Adriano, Radomski, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515079/
https://www.ncbi.nlm.nih.gov/pubmed/37736708
http://dx.doi.org/10.1186/s12864-023-09667-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515079/
https://www.ncbi.nlm.nih.gov/pubmed/37736708
http://dx.doi.org/10.1186/s12864-023-09667-w

Ejemplares similares