Benchmarking Genomic Encodings for AMR Prediction: The Superiority of K-mers and Ensemble Learning over Deep Learning

Abstract: The rise of Antimicrobial Resistance (AMR) necessitates fast and accurate computationalapproaches to predict resistance phenotypes directly from genomic data. While Whole-GenomeSequencing (WGS) coupled with Deep Learning (DL) models is the state-of-the-art paradigm, asystematic comparative... View More