A Machine Learning Method to Identify Genetic Variants Potentially Associated With Alzheimer’s Disease

There is hope that genomic information will assist prediction, treatment, and understanding of Alzheimer’s disease (AD). Here, using exome data from ∼10,000 individuals, we explore machine learning neural network (NN) methods to estimate the impact of SNPs (i.e., genetic variants) on AD risk. We dev...

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Detalles Bibliográficos
Autores principales: Monk, Bradley, Rajkovic, Andrei, Petrus, Semar, Rajkovic, Aleks, Gaasterland, Terry, Malinow, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238203/
https://www.ncbi.nlm.nih.gov/pubmed/34194466
http://dx.doi.org/10.3389/fgene.2021.647436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238203/
https://www.ncbi.nlm.nih.gov/pubmed/34194466
http://dx.doi.org/10.3389/fgene.2021.647436

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