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...

Descripción completa

Detalles Bibliográficos
Autores principales: Romero-Rosales, Brissa-Lizbeth, Tamez-Pena, Jose-Gerardo, Nicolini, Humberto, Moreno-Treviño, Maria-Guadalupe, Trevino, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
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

Internet

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

Ejemplares similares