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...

Descripción completa

Detalles Bibliográficos
Autores principales: Májek, Peter, Lüftinger, Lukas, Beisken, Stephan, Rattei, Thomas, Materna, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657983/
https://www.ncbi.nlm.nih.gov/pubmed/34884852
http://dx.doi.org/10.3390/ijms222313049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657983/
https://www.ncbi.nlm.nih.gov/pubmed/34884852
http://dx.doi.org/10.3390/ijms222313049

Ejemplares similares