Discovering epistatic feature interactions from neural network models of regulatory DNA sequences

MOTIVATION: Transcription factors bind regulatory DNA sequences in a combinatorial manner to modulate gene expression. Deep neural networks (DNNs) can learn the cis-regulatory grammars encoded in regulatory DNA sequences associated with transcription factor binding and chromatin accessibility. Sever...

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Detalles Bibliográficos
Autores principales: Greenside, Peyton, Shimko, Tyler, Fordyce, Polly, Kundaje, Anshul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Eccb 2018: European Conference on Computational Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129272/
https://www.ncbi.nlm.nih.gov/pubmed/30423062
http://dx.doi.org/10.1093/bioinformatics/bty575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129272/
https://www.ncbi.nlm.nih.gov/pubmed/30423062
http://dx.doi.org/10.1093/bioinformatics/bty575

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