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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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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6022597/ https://ncbi.nlm.nih.gov/pubmed/29950005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty285 |
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