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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...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Liu, Tong, Wang, Zheng
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6821373/
https://ncbi.nlm.nih.gov/pubmed/31056636
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz251
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