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Using bacterial pan-genome-based feature selection approach to improve the prediction of minimum inhibitory concentration (MIC)

Background: Predicting the resistance profiles of antimicrobial resistance (AMR) pathogens is becoming more and more important in treating infectious diseases. Various attempts have been made to build machine learning models to classify resistant or susceptible pathogens based on either known antimi...

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Detalles Bibliográficos
Autores principales:	Yang, Ming-Ren, Su, Shun-Feng, Wu, Yu-Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267731/ https://www.ncbi.nlm.nih.gov/pubmed/37323667 http://dx.doi.org/10.3389/fgene.2023.1054032

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