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ARMOR: Antibiotic Resistance Modelling through Omics & Resis...
ARMOR: Antibiotic Resistance Modelling through Omics & Resis...(expand)
Machine Learning · Bioinformatics · Antimicrobial Resistance
Abstract
ARMOR applies machine learning to antimicrobial-resistance prediction using genomic/omics information and resistance-gene analysis. The research emphasizes robust evaluation through BioProject-based splitting rather than relying solely on random train/test splits, tested on Klebsiella pneumoniae. First published ML benchmarks for amikacin (0.986 AUC) and fosfomycin resistance prediction in K. pneumoniae.
ARMOR applies machine learning to antimicrobial-resistance prediction using genomic/omics information and resistance-gen...
Preprint on Research Square · Under Review
2026
Research Collaborators
Machine Learning
Bioinformatics
Omics
XGBoost
SHAP
BioProject Splitting