AMR-GNN: A multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction
Hoai-An Nguyen, Anton Y. Peleg, Jessica A. Wisniewski, Xiaoyu Wang, Zhikang Wang, Luke V. Blakeway, Gnei Z. Badoordeen, Ravali Theegala, Nhu Quynh Doan, Matthew H. Parker, Anna G. Green, Jiangning Song, David L. Dowe, Nenad Maćešić
AMR-GNN predicts antimicrobial resistance using a graph neural network framework that integrates multiple genomic representations from whole-genome sequencing data.
Nature Communications · Mar 6, 2026Peer-reviewedGenomics