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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Detaylı Bibliyografya
Yayımlandı:Nat Methods
Asıl Yazarlar: Schwessinger, Ron, Gosden, Matthew, Downes, Damien, Brown, Richard C, Oudelaar, A. Marieke, Telenius, Jelena, Teh, Yee Whye, Lunter, Gerton, Hughes, Jim R.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Article
Online Erişim: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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