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Author

G. Rosen

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Open access Sep 2026

DNA augmentations for semi-supervised learning in genomic sequence classification

Abstract Semi-supervised learning (SSL) is a natural fit for genomics, where unlabeled sequences are abundant but high-quality labels are scarce due to costly curation. However, most SSL pipelines rely on generic perturbations that are not tailored to biological constraints, and it remains unclear which augmentation de...

Hyunwoo Yoo, G. Rosen · 0 citations

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