Enhancing predictions of antimicrobial resistance of pathogens by expanding the potential resistance gene repertoire using a pan-genome-based feature selection approach

BACKGROUND: Predicting which pathogens might exhibit antimicrobial resistance (AMR) based on genomics data is one of the promising ways to swiftly and precisely identify AMR pathogens. Currently, the most widely used genomics approach is through identifying known AMR genes from genomic information i...

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Detalles Bibliográficos
Autores principales: Yang, Ming-Ren, Wu, Yu-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011928/
https://www.ncbi.nlm.nih.gov/pubmed/35428201
http://dx.doi.org/10.1186/s12859-022-04666-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011928/
https://www.ncbi.nlm.nih.gov/pubmed/35428201
http://dx.doi.org/10.1186/s12859-022-04666-2

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