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EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model
Chromatin contacts between regulatory elements are of crucial importance for the interpretation of transcriptional regulation and the understanding of disease mechanisms. However, existing computational methods mainly focus on the prediction of interactions between enhancers and promoters, leaving e...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746221/ https://www.ncbi.nlm.nih.gov/pubmed/31565573 http://dx.doi.org/10.7717/peerj.7657 |