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Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
Although Hi-C technology is one of the most popular tools for studying 3D genome organization, due to sequencing cost, the resolution of most Hi-C datasets are coarse and cannot be used to link distal regulatory elements to their target genes. Here we develop HiCPlus, a computational approach based...
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| Publicado no: | Nat Commun |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5821732/ https://ncbi.nlm.nih.gov/pubmed/29467363 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-03113-2 |
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