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Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts
MOTIVATION: Genome-wide profiles of chromatin accessibility and gene expression in diverse cellular contexts are critical to decipher the dynamics of transcriptional regulation. Recently, convolutional neural networks have been used to learn predictive cis-regulatory DNA sequence models of context-s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612838/ https://www.ncbi.nlm.nih.gov/pubmed/31510655 http://dx.doi.org/10.1093/bioinformatics/btz352 |