… This analysis yielded 108 plausible AD genes. Network modelling by creating PPI using
proteins encoded by these genes and their direct interactors resulted in a layered network of …

… Moreover, our results indicate that cognitive decline in Alzheimer's disease patients is
associated with disrupted functional connectivity in the entire brain. Our findings further suggest …

… As network analysis is based on correlative structures and not … in late-onset Alzheimer’s
disease pathogenesis (ie the two … ; increased expression in Alzheimer's disease. …

… and Alzheimer's disease (AD). Even so, we know very little about how the brain's networks
… We computed a variety of measures sensitive to anatomical network topology, including the …

… Gene co-expression network analysis … -expression network analysis (WGCNA) to capture
the coordinated gene expression for each brain region separately. The co-expression networks …

… of our proteomic network analysis of AD brain by approximately a factor of three using a new
TMT-based analysis pipeline. The deeper protein coexpression network analysis revealed …

… early in Alzheimer’s disease (AD). Studies using region of interest or voxel-based analysis
of … We applied a multivariate network analysis based on principal component analysis to …

… network analysis uncovers AD-associated protein network … network analysis by using WGCNA,
a data-driven network … the proteome into a network of biologically meaningful modules of …

… in large-scale functional brain networks in patients with Alzheimer's disease (AD) and
frontotemporal lobar degeneration (FTLD) by means of graph theoretical analysis of resting-state …

… a transcriptomic and network analysis of gene expression datasets from MCI, AD, advanced
AD, and T2D patients to better understand the shared molecular networks disrupted through …