[Retracted] Shared Molecular Mechanisms between Atherosclerosis and Periodontitis by Analyzing the Transcriptomic Alterations of Peripheral Blood Monocytes

Figure 5

Identification of interesting modules in the periodontitis-GSE61490 dataset by performing WCGNA analysis. (a) Scale-free ft index for different powers (β) and mean connectivity analysis for various soft thresholding powers (β). (b) Log-log plot of the whole-network connectivity distribution showing the quality of relationship between connectivity () and , when power was selected to be 12. -axis: the logarithm of whole network connectivity; -axis: the logarithm of the corresponding frequency distribution. (c) Bar plot of mean gene significance () across six coexpression modules constructed with various colors (e.g., blue, brown, green, grey, turquoise, and yellow). The higher the mean gene significance in a module, the more significantly related the module is to the clinical trait of interest. (d) Gene dendrogram obtained by average linkage hierarchical clustering. The color row underneath the dendrogram shows the module assignment determined by the Dynamic Tree Cut. (e) Network heat map plot of topological overlap in the gene network. In the heat map, each row and column correspond to a gene, light color denotes low topological overlap, and progressively darker red denotes higher topological overlap. Darker squares along the diagonal correspond to modules. The gene dendrogram and module assignment are shown along the left and top. (f) The scatter plots of gene significance versus intramodular in the different modules of periodontitis-GSE61490 dataset.

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