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Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping
Predicting effects of gene regulatory elements (GREs) is a longstanding challenge in biology. Machine learning may address this, but requires large datasets linking GREs to their quantitative function. However, experimental methods to generate such datasets are either application-specific or technic...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363850/ https://www.ncbi.nlm.nih.gov/pubmed/32669542 http://dx.doi.org/10.1038/s41467-020-17222-4 |