Classification and deep-learning–based prediction of Alzheimer disease subtypes by using genomic data
Abstract Late-onset Alzheimer’s disease (LOAD) is the most common multifactorial neurodegenerative disease among elderly people. LOAD is heterogeneous, and the symptoms vary among patients. Genome-wide association studies (GWAS) have identified genetic risk factors for LOAD but not for LOAD subtypes...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2023-06-01
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| Colecção: | Translational Psychiatry |
| Acesso em linha: | https://doi.org/10.1038/s41398-023-02531-1 |
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