A novel approach to select differential pathways associated with hypertrophic cardiomyopathy based on gene co‑expression analysis.

ABSTRACT: The present study was designed to develop a novel method for identifying significant pathways associated with human hypertrophic cardiomyopathy (HCM), based on gene co‑expression analysis. The microarray dataset associated with HCM (E‑GEOD‑36961) was obtained from the European Molecular Biology Laboratory‑European Bioinformatics Institute database. Informative pathways were selected based on the Reactome pathway database and screening treatments. An empirical Bayes method was utilized to construct co‑expression networks for informative pathways, and a weight value was assigned to each pathway. Differential pathways were extracted based on weight threshold, which was calculated using a random model. In order to assess whether the co‑expression method was feasible, it was compared with tradi

SUBMITTER: Chen XM 

PROVIDER: S-EPMC5482204 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature