A Practical Approach for Predicting Antimicrobial Phenotype Resistance in Staphylococcus aureus Through Machine Learning Analysis of Genome Data

With the reduction in sequencing price and acceleration of sequencing speed, it is particularly important to directly link the genotype and phenotype of bacteria. Here, we firstly predicted the minimum inhibitory concentrations of ten antimicrobial agents for Staphylococcus aureus using 466 isolates...

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Detalles Bibliográficos
Autores principales: Wang, Shuyi, Zhao, Chunjiang, Yin, Yuyao, Chen, Fengning, Chen, Hongbin, Wang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924536/
https://www.ncbi.nlm.nih.gov/pubmed/35308374
http://dx.doi.org/10.3389/fmicb.2022.841289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924536/
https://www.ncbi.nlm.nih.gov/pubmed/35308374
http://dx.doi.org/10.3389/fmicb.2022.841289

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