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DeepHiC: A generative adversarial network for enhancing Hi-C data resolution
Hi-C is commonly used to study three-dimensional genome organization. However, due to the high sequencing cost and technical constraints, the resolution of most Hi-C datasets is coarse, resulting in a loss of information and biological interpretability. Here we develop DeepHiC, a generative adversar...
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| Izdano u: | PLoS Comput Biol |
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| Glavni autori: | , , , , , , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2020
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7055922/ https://ncbi.nlm.nih.gov/pubmed/32084131 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007287 |
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