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DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure
Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. We propose a deep learning method, DeepMILO, to predict the effects of variants on CTCF/cohesin-mediated insulator loops. Application of DeepMILO on variants from whole-genome sequences of 1834 patien...
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| Veröffentlicht in: | Genome Biol |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7098089/ https://ncbi.nlm.nih.gov/pubmed/32216817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-01987-4 |
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