Fig. 3

WGCNA analysis and module identification. A-D Sample clustering dendrogram to detect outliers in WGCNA. All samples from the four datasets (GSE28750, GSE57065, GSE65682, and GSE69528) had passed the cuts and most of the samples with the same disease were clustered together. E Clustering dendrograms of genes, based on topological overlap, together with assigned module colors. As a result, 4 co-expression modules were constructed and were shown in different colors. F The gene co-expression network was visualized in the form of heatmap. Light color represented low co-expression and progressively darker red color represented higher co-expression. The darker colors along the diagonal were the modules. G Module-trait associations. Each row corresponded to a module eigengene, and the column to the traits (diagnosed sepsis or healthy). Each cell contained the corresponding correlation and p-value. The table was color-coded by correlation according to the color legend