Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome

摘要

BackgroundSystems biologic approaches such as Weighted Gene Co-expression Network Analysis (WGCNA) can effectively integrate gene expression and trait data to identify pathways and candidate biomarkers. Here we show that the additional inclusion of genetic marker data allows one to characterize network relationships as causal or reactive in a chronic fatigue syndrome (CFS) data set.