Sequence similarity governs generalizability of de novo deep learning models for RNA secondary structure prediction
Making no use of physical laws or co-evolutionary information, de novo deep learning (DL) models for RNA secondary structure prediction have achieved far superior performances than traditional algorithms. However, their statistical underpinning raises the crucial question of generalizability. We pre...
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| Format: | Article |
| Language: | English |
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NLM (Medline)
2023
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| Online Access: | View Fulltext in Publisher View in Scopus |