Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN - XGBoost Ensemble
This work developed a lightweight, custom 1D Convolutional Neural Network to efficiently learn predictive sequence motifs from high-dimensional SNP data, and demonstrates that fusing a sequence-aware 1D CNN with a feature-based XGBoost model creates a powerful ensemble, overcoming the limitations of using either an ord...
Md. Saiful Bari Siddiqui, Nowshin Tarannum
· bioRxiv · 2 citations
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