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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |