Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN - XGBoost Ensemble
Md. Saiful Bari Siddiqui, Nowshin Tarannum
The paper develops an ensemble model combining a lightweight 1D CNN and XGBoost to predict antimicrobial resistance from genomic data, achieving high performance on E. coli strains.
International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia) · Jan 9, 2026Peer-reviewedBioinformatics