Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformation

Despite the availability of chromatin conformation capture experiments, discerning the relationship between the 1D genome and 3D conformation remains a challenge, which limits our understanding of their affect on gene expression and disease. We propose Hi-C-LSTM, a method that produces low-dimension...

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Detalles Bibliográficos
Autores principales: Dsouza, Kevin B., Maslova, Alexandra, Al-Jibury, Ediem, Merkenschlager, Matthias, Bhargava, Vijay K., Libbrecht, Maxwell W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240038/
https://www.ncbi.nlm.nih.gov/pubmed/35764630
http://dx.doi.org/10.1038/s41467-022-31337-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240038/
https://www.ncbi.nlm.nih.gov/pubmed/35764630
http://dx.doi.org/10.1038/s41467-022-31337-w

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