Cargando…
Dynamical differential networks and modules inferring disrupted genes associated with the progression of Alzheimer's disease
In order to understand the pathogenic factors that initiate the processes of Alzheimer's disease (AD), a method of inference of multiple differential modules (iMDM) to conduct analysis was performed on the gene expression profile of AD. A total of 11,089 genes and 588,391 interactions were gain...
Autores principales: | Wang, Zhengling, Yan, Xinling, Zhao, Chenghua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613183/ https://www.ncbi.nlm.nih.gov/pubmed/28966679 http://dx.doi.org/10.3892/etm.2017.4905 |
Ejemplares similares
-
Evaluating Alzheimer's Disease Progression by Modeling Crosstalk Network Disruption
por: Liu, Haochen, et al.
Publicado: (2016) -
Diverging Progression of Network Disruption and Atrophy in Alzheimer’s Disease and Semantic Dementia
por: Andreotti, Jennifer, et al.
Publicado: (2016) -
Modeling osteosarcoma progression by measuring the connectivity dynamics using an inference of multiple differential modules algorithm
por: Liu, Bin, et al.
Publicado: (2017) -
Sleep disruption and Alzheimer's disease risk: Inferences from men with benign prostatic hyperplasia
por: Nørgaard, Mette, et al.
Publicado: (2021) -
Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease
por: Pereira, Joana B., et al.
Publicado: (2016)