Genome-Wide Mutation Scoring for Machine-Learning-Based Antimicrobial Resistance Prediction

Genome-Wide Mutation Scoring for Machine-Learning-Based Antimicrobial Resistance Prediction

The prediction of antimicrobial resistance (AMR) based on genomic information can improve patient outcomes. Genetic mechanisms have been shown to explain AMR with accuracies in line with standard microbiology laboratory testing. To translate genetic mechanisms into phenotypic AMR, machine learning h...

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Bibliographic Details
Main Authors: Peter Májek, Lukas Lüftinger, Stephan Beisken, Thomas Rattei, Arne Materna
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:International Journal of Molecular Sciences
Subjects:
machine learning
genomics
antimicrobial resistance
antibiotics
WGS
genome-wide mutation scoring
Online Access:https://www.mdpi.com/1422-0067/22/23/13049

Internet

https://www.mdpi.com/1422-0067/22/23/13049

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