Unsupervised embedding of single-cell Hi-C data

MOTIVATION: Single-cell Hi-C (scHi-C) data promises to enable scientists to interrogate the 3D architecture of DNA in the nucleus of the cell, studying how this structure varies stochastically or along developmental or cell-cycle axes. However, Hi-C data analysis requires methods that take into acco...

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Detalles Bibliográficos
Autores principales: Liu, Jie, Lin, Dejun, Yardımcı, Galip Gürkan, Noble, William Stafford
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022597/
https://www.ncbi.nlm.nih.gov/pubmed/29950005
http://dx.doi.org/10.1093/bioinformatics/bty285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022597/
https://www.ncbi.nlm.nih.gov/pubmed/29950005
http://dx.doi.org/10.1093/bioinformatics/bty285

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