A supervised learning framework for chromatin loop detection in genome-wide contact maps

Accurately predicting chromatin loops from genome-wide interaction matrices such as Hi-C data is critical to deepening our understanding of proper gene regulation. Current approaches are mainly focused on searching for statistically enriched dots on a genome-wide map. However, given the availability...

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Detalles Bibliográficos
Autores principales: Salameh, Tarik J., Wang, Xiaotao, Song, Fan, Zhang, Bo, Wright, Sage M., Khunsriraksakul, Chachrit, Ruan, Yijun, Yue, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347923/
https://www.ncbi.nlm.nih.gov/pubmed/32647330
http://dx.doi.org/10.1038/s41467-020-17239-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347923/
https://www.ncbi.nlm.nih.gov/pubmed/32647330
http://dx.doi.org/10.1038/s41467-020-17239-9

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