DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays

MOTIVATION: Mapping distal regulatory elements, such as enhancers, is a cornerstone for elucidating how genetic variations may influence diseases. Previous enhancer-prediction methods have used either unsupervised approaches or supervised methods with limited training data. Moreover, past approaches...

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Detalles Bibliográficos
Autores principales: Chen, Zhanlin, Zhang, Jing, Liu, Jason, Dai, Yi, Lee, Donghoon, Min, Martin Renqiang, Xu, Min, Gerstein, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Regulatory and Functional Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275369/
https://www.ncbi.nlm.nih.gov/pubmed/34252960
http://dx.doi.org/10.1093/bioinformatics/btab283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275369/
https://www.ncbi.nlm.nih.gov/pubmed/34252960
http://dx.doi.org/10.1093/bioinformatics/btab283

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