Identification of Key Genes Associated with Endothelial Cell Dysfunction in Atherosclerosis Using Multiple Bioinformatics Tools

Figure 1

Construction of coexpression modules. (a) Sample clustering was conducted to detect outliers. Clusters, all passing the cutoff thresholds, were constructed from all samples. (b) Quantification of endothelial cell function by ssGSEA. The result is displayed as a trait heat map. (c) Analysis of network topology for various soft-thresholding powers. The left panel shows the scale-free fit index (-axis) as a function of the soft-thresholding power (-axis). The right panel displays the mean connectivity (-axis) as a function of the soft-thresholding power (-axis). (d) Gene clustering dendrograms. Dissimilarity was based on topological overlap together with assigned module colors. As a result, 32 coexpression modules were constructed and are shown in different colors. These modules were arranged from large to small based on the number of genes they included.

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