DeepHiC: A generative adversarial network for enhancing Hi-C data resolution

Hi-C is commonly used to study three-dimensional genome organization. However, due to the high sequencing cost and technical constraints, the resolution of most Hi-C datasets is coarse, resulting in a loss of information and biological interpretability. Here we develop DeepHiC, a generative adversar...

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Detalles Bibliográficos
Autores principales: Hong, Hao, Jiang, Shuai, Li, Hao, Du, Guifang, Sun, Yu, Tao, Huan, Quan, Cheng, Zhao, Chenghui, Li, Ruijiang, Li, Wanying, Yin, Xiaoyao, Huang, Yangchen, Li, Cheng, Chen, Hebing, Bo, Xiaochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055922/
https://www.ncbi.nlm.nih.gov/pubmed/32084131
http://dx.doi.org/10.1371/journal.pcbi.1007287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055922/
https://www.ncbi.nlm.nih.gov/pubmed/32084131
http://dx.doi.org/10.1371/journal.pcbi.1007287

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