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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2021
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| 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 |