PathoBERT: A Hybrid Attention-Based Genomic Language Model for Read-Level Bacterial Pathogenicity Prediction
Motivation Although recent deep learning models have achieved promising results on read level classification tasks, their robustness to realistic sequencing conditions, sensitivity to read length, and ability to support reliable genome level inference remain incompletely characterized. Here, we present PathoBERT, a hybrid deep learning framework that integrates a LoRA adapted DNABERT encoder with…
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