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Deep generalizable prediction of RNA secondary structure via base pair motif energy
Abstract Deep learning methods have demonstrated great performance for RNA secondary structure prediction. However, generalizability is a common unsolved issue on unseen out-of-distribution RNA families, which hinders further improvement of the accuracy and robustness of deep learning methods. Here...
שמור ב:
| Main Authors: | , , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Nature Portfolio
2025-07-01
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| סדרה: | Nature Communications |
| גישה מקוונת: | https://doi.org/10.1038/s41467-025-60048-1 |
| תגים: |
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