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Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networks

Deciphering the sequence-function relationship encoded in enhancers holds the key to interpreting non-coding variants and understanding mechanisms of transcriptomic variation. Several quantitative models exist for predicting enhancer function and underlying mechanisms; however, there has been no sys...

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Detalles Bibliográficos
Autores principales: Dibaeinia, Payam, Sinha, Saurabh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501998/
https://www.ncbi.nlm.nih.gov/pubmed/34508359
http://dx.doi.org/10.1093/nar/gkab765