Chromatin accessibility prediction via a hybrid deep convolutional neural network

MOTIVATION: A majority of known genetic variants associated with human-inherited diseases lie in non-coding regions that lack adequate interpretation, making it indispensable to systematically discover functional sites at the whole genome level and precisely decipher their implications in a comprehe...

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Detalles Bibliográficos
Autores principales: Liu, Qiao, Xia, Fei, Yin, Qijin, Jiang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192215/
https://www.ncbi.nlm.nih.gov/pubmed/29069282
http://dx.doi.org/10.1093/bioinformatics/btx679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192215/
https://www.ncbi.nlm.nih.gov/pubmed/29069282
http://dx.doi.org/10.1093/bioinformatics/btx679

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