Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper.
Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to one or several antibiotics. It has been suggested that genomic sequencing and machine learning (ML) coul...
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Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-12-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1012579 |
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Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper
Published 2024-12-01
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