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SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data
2020
Frontiers in Genetics
Hi-C data is important for studying chromatin three-dimensional structure. However, the resolution of most existing Hi-C data is generally coarse due to sequencing cost. Therefore, it will be helpful if we can predict high-resolution Hi-C data from low-coverage sequencing data. Here we developed a novel and simple computational method based on deep learning named super-resolution Hi-C (SRHiC) to enhance the resolution of Hi-C data. We verified SRHiC on Hi-C data in human cell line. We also
doi:10.3389/fgene.2020.00353
pmid:32322265
pmcid:PMC7156553
fatcat:3c3yw2r64ngpthit76jp5bfxma