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A neural network based model effectively predicts enhancers from clinical ATAC-seq samples
Enhancers are cis-acting sequences that regulate transcription rates of their target genes in a cell-specific manner and harbor disease-associated sequence variants in cognate cell types. Many complex diseases are associated with enhancer malfunction, necessitating the discovery and study of enhance...
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| Publicado en: | Sci Rep |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6207744/ https://ncbi.nlm.nih.gov/pubmed/30375457 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-34420-9 |
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