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...

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Detalles Bibliográficos
Autores principales: Nair, Surag, Kim, Daniel S, Perricone, Jacob, Kundaje, Anshul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
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

Internet

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

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