Coexpression Network Analysis-Based Identification of Critical Genes Differentiating between Latent and Active Tuberculosis

Figure 3

Construction of a weighted gene coexpression network analysis (WGCNA) and screening for hub genes. (a) Analysis of the scale-free fit index and the mean connectivity for various soft-thresholding powers (). (b) Histogram of connectivity distributions and a check of the scale-free topology when . (c) Clustering of module eigengenes (the red line indicates a cut height of 0.25) and clustering dendrograms of genes based on a dissimilarity measure (1-TOM). (d) Module-trait associations were evaluated by correlations between module eigengenes and sample traits. Each cell contains the correlation coefficient and value. (e) Venn diagram for the intersection between DEGs and the red module. (f) Partial likelihood deviance with changing of log (l) plotted via LASSO regression with 10-fold cross-validation. Dotted vertical lines were drawn at the optimal values using the minimum criteria (lambda.min) and 1 standard error of the minimum criteria (1-SE criteria). (g) The LASSO coefficient profiles for 3 hub genes in the 10-fold cross-validation.

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