Co-expression network-based analysis of hippocampal expression data associated with Alzheimer's disease using a novel algorithm.

ABSTRACT: Recent progress in bioinformatics has facilitated the clarification of biological processes associated with complex diseases. Numerous methods of co-expression analysis have been proposed for use in the study of pairwise relationships among genes. In the present study, a combined network based on gene pairs was constructed following the conversion and combination of gene pair score values using a novel algorithm across multiple approaches. Three hippocampal expression profiles of patients with Alzheimer's disease (AD) and normal controls were extracted from the ArrayExpress database, and a total of 144 differentially expressed (DE) genes across multiple studies were identified by a rank product (RP) method. Five groups of co-expression gene pairs and five networks were identified and const

SUBMITTER: Yue H 

PROVIDER: S-EPMC4840697 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature