A systematic analysis of machine learning pipelines for robust antimicrobial resistance prediction
Alex Aselstyne, Enamundram Naga Karthik, Meriem El Azami, Romain Pogorelcnik, Quentin Fournier, Sarath Chandar
This study evaluates ML pipelines for AMR prediction using genomic data, identifying key factors affecting performance and supporting tree-based models.
bioRxiv · Jul 8, 2026 · PreprintBioinformatics