SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data.
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ABSTRACT:
SUBMITTER: Li Z
PROVIDER: S-EPMC7156553 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data.
Frontiers in genetics 20200408
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 evalu ...[more]
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