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Predicting enhancers with deep convolutional neural networks
BACKGROUND: With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of human cell lines. Nevertheless, experimental approaches are still costly and ti...
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| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5773911/ https://ncbi.nlm.nih.gov/pubmed/29219068 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1878-3 |
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