BioinformaticsbioRxivPreprint
Genome-Level Hierarchical Attention Transformer with Multi-Head Attention Weighted Sum for Broad-Spectrum Antimicrobial Resistance Prediction and Discovery of Resistance-Related Genomic Contexts
Sein Park, Hyounggyu Kim, Kihyun lee, Hyun-Seok Oh
This paper introduces GL-HAT, a transformer model for predicting antimicrobial resistance and identifying resistance-related genomic contexts, achieving high accuracy and interpretability.
DOI 10.64898/2025.12.22.695895