Accurate Blood-Based Diagnostic Biosignatures for Alzheimer’s Disease via Automated Machine Learning

Alzheimer’s disease (AD) is the most common form of neurodegenerative dementia and its timely diagnosis remains a major challenge in biomarker discovery. In the present study, we analyzed publicly available high-throughput low-sample -omics datasets from studies in AD blood, by the AutoML technology...

Descripción completa

Detalles Bibliográficos
Autores principales: Karaglani, Makrina, Gourlia, Krystallia, Tsamardinos, Ioannis, Chatzaki, Ekaterini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563988/
https://www.ncbi.nlm.nih.gov/pubmed/32962113
http://dx.doi.org/10.3390/jcm9093016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563988/
https://www.ncbi.nlm.nih.gov/pubmed/32962113
http://dx.doi.org/10.3390/jcm9093016

Ejemplares similares