Predicting enhancers with deep convolutional neural networks

BACKGROUND: With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of human cell lines. Nevertheless, experimental approaches are still costly and ti...

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Detalles Bibliográficos
Autores principales: Min, Xu, Zeng, Wanwen, Chen, Shengquan, Chen, Ning, Chen, Ting, Jiang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773911/
https://www.ncbi.nlm.nih.gov/pubmed/29219068
http://dx.doi.org/10.1186/s12859-017-1878-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773911/
https://www.ncbi.nlm.nih.gov/pubmed/29219068
http://dx.doi.org/10.1186/s12859-017-1878-3

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