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Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies
MOTIVATION: Allowance for increasingly large samples is a key to identify the association of genetic variants with Alzheimer’s disease (AD) in genome-wide association studies (GWAS). Accordingly, we aimed to develop a method that incorporates patients with mild cognitive impairment and unknown cogni...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539075/ https://www.ncbi.nlm.nih.gov/pubmed/37665736 http://dx.doi.org/10.1093/bioinformatics/btad534 |