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DeepC: predicting 3D genome folding using megabase-scale transfer learning
Predicting the impact of non-coding genetic variation requires interpreting it in the context of 3D genome architecture. We have developed deepC, a transfer learning based deep neural network that accurately predicts genome folding from megabase-scale DNA sequence. DeepC predicts domain boundaries a...
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| Publicado no: | Nat Methods |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7610627/ https://ncbi.nlm.nih.gov/pubmed/33046896 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-020-0960-3 |
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