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Improving predictive models for Alzheimer’s disease using GWAS data by incorporating misclassified samples modeling
Late-onset Alzheimer’s Disease (LOAD) is the most common form of dementia in the elderly. Genome-wide association studies (GWAS) for LOAD have open new avenues to identify genetic causes and to provide diagnostic tools for early detection. Although several predictive models have been proposed using...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179850/ https://www.ncbi.nlm.nih.gov/pubmed/32324812 http://dx.doi.org/10.1371/journal.pone.0232103 |