Evaluating the informativeness of deep learning annotations for human complex diseases

Deep learning models have shown great promise in predicting regulatory effects from DNA sequence, but their informativeness for human complex diseases is not fully understood. Here, we evaluate genome-wide SNP annotations from two previous deep learning models, DeepSEA and Basenji, by applying strat...

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Detalles Bibliográficos
Autores principales: Dey, Kushal K., van de Geijn, Bryce, Kim, Samuel Sungil, Hormozdiari, Farhad, Kelley, David R., Price, Alkes L.
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/PMC7499261/
https://www.ncbi.nlm.nih.gov/pubmed/32943643
http://dx.doi.org/10.1038/s41467-020-18515-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499261/
https://www.ncbi.nlm.nih.gov/pubmed/32943643
http://dx.doi.org/10.1038/s41467-020-18515-4

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