PEDLA: predicting enhancers with a deep learning-based algorithmic framework

Transcriptional enhancers are non-coding segments of DNA that play a central role in the spatiotemporal regulation of gene expression programs. However, systematically and precisely predicting enhancers remain a major challenge. Although existing methods have achieved some success in enhancer predic...

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Detalles Bibliográficos
Autores principales: Liu, Feng, Li, Hao, Ren, Chao, Bo, Xiaochen, Shu, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916453/
https://www.ncbi.nlm.nih.gov/pubmed/27329130
http://dx.doi.org/10.1038/srep28517

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916453/
https://www.ncbi.nlm.nih.gov/pubmed/27329130
http://dx.doi.org/10.1038/srep28517

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