Sequential regulatory activity prediction across chromosomes with convolutional neural networks

Models for predicting phenotypic outcomes from genotypes have important applications to understanding genomic function and improving human health. Here, we develop a machine-learning system to predict cell-type–specific epigenetic and transcriptional profiles in large mammalian genomes from DNA sequ...

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Detalles Bibliográficos
Autores principales: Kelley, David R., Reshef, Yakir A., Bileschi, Maxwell, Belanger, David, McLean, Cory Y., Snoek, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2018
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932613/
https://www.ncbi.nlm.nih.gov/pubmed/29588361
http://dx.doi.org/10.1101/gr.227819.117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932613/
https://www.ncbi.nlm.nih.gov/pubmed/29588361
http://dx.doi.org/10.1101/gr.227819.117

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