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...

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Detalles Bibliográficos
Autores principales: Höllerer, Simon, Papaxanthos, Laetitia, Gumpinger, Anja Cathrin, Fischer, Katrin, Beisel, Christian, Borgwardt, Karsten, Benenson, Yaakov, Jeschek, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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