GenNet framework: interpretable deep learning for predicting phenotypes from genetic data

Applying deep learning in population genomics is challenging because of computational issues and lack of interpretable models. Here, we propose GenNet, a novel open-source deep learning framework for predicting phenotypes from genetic variants. In this framework, interpretable and memory-efficient n...

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Detalles Bibliográficos
Autores principales: van Hilten, Arno, Kushner, Steven A., Kayser, Manfred, Ikram, M. Arfan, Adams, Hieab H. H., Klaver, Caroline C. W., Niessen, Wiro J., Roshchupkin, Gennady V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448759/
https://www.ncbi.nlm.nih.gov/pubmed/34535759
http://dx.doi.org/10.1038/s42003-021-02622-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448759/
https://www.ncbi.nlm.nih.gov/pubmed/34535759
http://dx.doi.org/10.1038/s42003-021-02622-z

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