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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...
Autores principales: | Osipowicz, Marlena, Wilczynski, Bartek, Machnicka, Magdalena A |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
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 |
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