Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes
Abstract The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been explored for this task, but systematic benchmarking is still...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
2024
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| Διαθέσιμο Online: | https://doi.org/10.1093/bib/bbae206 https://academic.oup.com/bib/article-pdf/25/3/bbae206/57405279/bbae206.pdf |
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