Article

Antimicrobial Resistance Prediction in <i>Salmonella enterica</i> Using Frequency Chaos Game Representation and ResNet-18

2025-09-17

Abstract excerpt

Antimicrobial resistance (AMR) prediction from bacterial genomes remains a major challenge for clinical microbiology and surveillance. We developed a deep learning model based on Frequency Chaos Game Representation (FCGR) and a ResNet-18 architecture to classify resistance phenotypes directly from whole-genome assemblies. Using homology-aware clustering to prevent genomic data leakage, we trained and evaluated mod...

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Literature Corpus work: d494e72e-f87f-5be4-b768-4f22b94b6441
DOI: 10.1101/2025.09.13.675356

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