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RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
The majority of our human genome transcribes into noncoding RNAs with unknown structures and functions. Obtaining functional clues for noncoding RNAs requires accurate base-pairing or secondary-structure prediction. However, the performance of such predictions by current folding-based algorithms has...
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| Veröffentlicht in: | Nat Commun |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6881452/ https://ncbi.nlm.nih.gov/pubmed/31776342 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13395-9 |
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