Cargando…
Early Prediction of Alzheimer’s Disease Using Null Longitudinal Model-Based Classifiers
Incipient Alzheimer’s Disease (AD) is characterized by a slow onset of clinical symptoms, with pathological brain changes starting several years earlier. Consequently, it is necessary to first understand and differentiate age-related changes in brain regions in the absence of disease, and then to su...
Autores principales: | Gavidia-Bovadilla, Giovana, Kanaan-Izquierdo, Samir, Mataró-Serrat, María, Perera-Lluna, Alexandre |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207395/ https://www.ncbi.nlm.nih.gov/pubmed/28045907 http://dx.doi.org/10.1371/journal.pone.0168011 |
Ejemplares similares
-
Null diffusion-based enrichment for metabolomics data
por: Picart-Armada, Sergio, et al.
Publicado: (2017) -
Next generation sequencing to dissect the genetic architecture of KNG1 and F11 loci using factor XI levels as an intermediate phenotype of thrombosis
por: Martin-Fernandez, Laura, et al.
Publicado: (2017) -
Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
por: Lopez-del Rio, Angela, et al.
Publicado: (2020) -
Data Simulation in Machine Olfaction with the R Package Chemosensors
por: Ziyatdinov, Andrey, et al.
Publicado: (2014) -
Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins
por: Jaramillo-Garzón, Jorge Alberto, et al.
Publicado: (2013)