Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease.

ABSTRACT: Coronary artery disease (CAD) is the most common type of cardiovascular disease and leading cause of mortality worldwide. Microarray technology for gene expression analysis has facilitated the identification of the molecular mechanism that underlies the pathogenesis of CAD. Previous studies have primarily used variance or regression analysis, without considering array specific factors. Thus, the aim of the present study was to investigate the mechanism of CAD using partial least squares (PLS)-based analysis, which was integrated with the Monte Carlo technique. Microarray analysis was performed with a data set of 110 CAD patients and 111 controls obtained from the Gene Expression Omnibus database. A total of 390 dysregulated genes were acquired. Significantly increased representations of dy

SUBMITTER: Zhang H 

PROVIDER: S-EPMC3991499 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature