DeepC: Predicting 3D genome folding using megabase-scale transfer learning
Predicting the impact of noncoding genetic variation requires interpreting it in the context of three-dimensional 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 domai...
| Egile Nagusiak: | , , , , , , , , |
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| Formatua: | Journal article |
| Hizkuntza: | English |
| Argitaratua: |
Springer Nature
2020
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