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Article

ARGfore: A multivariate framework for forecasting antibiotic resistance gene abundances using time-series metagenomic datasets

2025-01-14

Abstract excerpt

<h4>Background</h4> The global spread of antibiotic resistance presents a significant threat to human, animal, and plant health. Metagenomic sequencing is increasingly being utilized to profile antibiotic resistance genes (ARGs) in various environments, but presently a mechanism for predicting future trends in ARG occurrence patterns is lacking. Capability of forecasting ARG abundance trends could be extremely va...

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Literature Corpus work
453b6c5b-b890-5e87-88cd-56cd4363ebc1
DOI
10.1101/2025.01.13.632008
Open publication

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ARGfore: A multivariate framework for forecasting antibiotic resistance gene abundances using time-series metagenomic datasetsDOI 10.1101/2025.01.13.632008
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