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Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data
Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-compartments in the nucleus. However, accurately identifying sub-compartments from chromatin interaction data remains a challenge in computational biology. Here, we present Sub-Compartment Identifier (SC...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054322/ https://www.ncbi.nlm.nih.gov/pubmed/32127534 http://dx.doi.org/10.1038/s41467-020-14974-x |