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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Detalles Bibliográficos
Autores principales: Her, Hsuan-Lin, Wu, Yu-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022653/
https://www.ncbi.nlm.nih.gov/pubmed/29949970
http://dx.doi.org/10.1093/bioinformatics/bty276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022653/
https://www.ncbi.nlm.nih.gov/pubmed/29949970
http://dx.doi.org/10.1093/bioinformatics/bty276

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