Tracking antibiotic resistance gene pollution from different sources using machine-learning classification

BACKGROUND: Antimicrobial resistance (AMR) has been a worldwide public health concern. Current widespread AMR pollution has posed a big challenge in accurately disentangling source-sink relationship, which has been further confounded by point and non-point sources, as well as endogenous and exogenou...

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Detalles Bibliográficos
Autores principales: Li, Li-Guan, Yin, Xiaole, Zhang, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966912/
https://www.ncbi.nlm.nih.gov/pubmed/29793542
http://dx.doi.org/10.1186/s40168-018-0480-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966912/
https://www.ncbi.nlm.nih.gov/pubmed/29793542
http://dx.doi.org/10.1186/s40168-018-0480-x

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