The construction of common and specific significance subnetworks of Alzheimer's disease from multiple brain regions.

ABSTRACT: Alzheimer's disease (AD) is a progressively and fatally neurodegenerative disorder and leads to irreversibly cognitive and memorial damage in different brain regions. The identification and analysis of the dysregulated pathways and subnetworks among affected brain regions will provide deep insights for the pathogenetic mechanism of AD. In this paper, commonly and specifically significant subnetworks were identified from six AD brain regions. Protein-protein interaction (PPI) data were integrated to add molecular biological information to construct the functional modules of six AD brain regions by Heinz algorithm. Then, the simulated annealing algorithm based on edge weight is applied to predicting and optimizing the maximal scoring networks for common and specific genes, respectively, whic

SUBMITTER: Kong W 

PROVIDER: S-EPMC4383160 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature