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HiCNN: a very deep convolutional neural network to better enhance the resolution of Hi-C data
MOTIVATION: High-resolution Hi-C data are indispensable for the studies of three-dimensional (3D) genome organization at kilobase level. However, generating high-resolution Hi-C data (e.g. 5 kb) by conducting Hi-C experiments needs millions of mammalian cells, which may eventually generate billions...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821373/ https://www.ncbi.nlm.nih.gov/pubmed/31056636 http://dx.doi.org/10.1093/bioinformatics/btz251 |