Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
Despite its popularity for measuring the spatial organization of mammalian genomes, the resolution of most Hi-C datasets is coarse due to sequencing cost. Here, Zhang et al. develop HiCPlus, a computational approach based on deep convolutional neural network, to infer high-resolution Hi-C interactio...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-03113-2 |