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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610627/ https://www.ncbi.nlm.nih.gov/pubmed/33046896 http://dx.doi.org/10.1038/s41592-020-0960-3 |