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DEEPSEN: a convolutional neural network based method for super-enhancer prediction
BACKGROUND: Super-enhancers (SEs) are clusters of transcriptional active enhancers, which dictate the expression of genes defining cell identity and play an important role in the development and progression of tumors and other diseases. Many key cancer oncogenes are driven by super-enhancers, and th...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929276/ https://ncbi.nlm.nih.gov/pubmed/31874597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3180-z |
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