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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...
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| Published in: | PeerJ |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
PeerJ Inc.
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6746221/ https://ncbi.nlm.nih.gov/pubmed/31565573 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.7657 |
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