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A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains
MOTIVATION: Antimicrobial resistance (AMR) is becoming a huge problem in both developed and developing countries, and identifying strains resistant or susceptible to certain antibiotics is essential in fighting against antibiotic-resistant pathogens. Whole-genome sequences have been collected for di...
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| Publicado en: | Bioinformatics |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6022653/ https://ncbi.nlm.nih.gov/pubmed/29949970 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty276 |
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