Careful feature selection is key in classification of Alzheimer’s disease patients based on whole-genome sequencing data

Despite great increase of the amount of data from genome-wide association studies (GWAS) and whole-genome sequencing (WGS), the genetic background of a partially heritable Alzheimer’s disease (AD) is not fully understood yet. Machine learning methods are expected to help researchers in the analysis...

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Detalles Bibliográficos
Autores principales: Osipowicz, Marlena, Wilczynski, Bartek, Machnicka, Magdalena A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315124/
https://www.ncbi.nlm.nih.gov/pubmed/34327330
http://dx.doi.org/10.1093/nargab/lqab069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315124/
https://www.ncbi.nlm.nih.gov/pubmed/34327330
http://dx.doi.org/10.1093/nargab/lqab069

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