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Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals
Genome-wide association analyses have uncovered multiple genomic regions associated with T2D, but identification of the causal variants at these remains a challenge. There is growing interest in the potential of deep learning models - which predict epigenome features from DNA sequence - to support i...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007221/ https://www.ncbi.nlm.nih.gov/pubmed/31985400 http://dx.doi.org/10.7554/eLife.51503 |