Cargando…
A Systems Biology Approach for Hypothesizing the Effect of Genetic Variants on Neuroimaging Features in Alzheimer’s Disease
BACKGROUND: Neuroimaging markers provide quantitative insight into brain structure and function in neurodegenerative diseases, such as Alzheimer’s disease, where we lack mechanistic insights to explain pathophysiology. These mechanisms are often mediated by genes and genetic variations and are often...
Autores principales: | Golriz Khatami, Sepehr, Domingo-Fernández, Daniel, Mubeen, Sarah, Hoyt, Charles Tapley, Robinson, Christine, Karki, Reagon, Iyappan, Anandhi, Kodamullil, Alpha Tom, Hofmann-Apitius, Martin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075382/ https://www.ncbi.nlm.nih.gov/pubmed/33554913 http://dx.doi.org/10.3233/JAD-201397 |
Ejemplares similares
-
Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithm
por: Karki, Reagon, et al.
Publicado: (2019) -
Of Mice and Men: Comparative Analysis of Neuro-Inflammatory Mechanisms in Human and Mouse Using Cause-and-Effect Models
por: Kodamullil, Alpha Tom, et al.
Publicado: (2017) -
Challenges of Integrative Disease Modeling in Alzheimer's Disease
por: Golriz Khatami, Sepehr, et al.
Publicado: (2020) -
Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures
por: Golriz Khatami, Sepehr, et al.
Publicado: (2021) -
Comorbidity Analysis between Alzheimer’s Disease and Type 2 Diabetes Mellitus (T2DM) Based on Shared Pathways and the Role of T2DM Drugs
por: Karki, Reagon, et al.
Publicado: (2017)