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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |