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Fig. 2 | BMC Medical Genomics

Fig. 2

From: Weighted gene co-expression network analysis revealed T cell differentiation associated with the age-related phenotypes in COVID-19 patients

Fig. 2

Results of Weight Gene Co-expression Network Analysis (WGCNA) in 100 COVID-19 patients of different ages. A Clustering dendrogram of 10,985 co-expression genes (TPM > 1) based on topological overlap. B Eigengene adjacency heatmap of different gene co-expression modules. C Module-age correlative analysis. Each row corresponds to a module eigengene and each column corresponds to different ages. Heatmap block with p-values and correlation coefficients. The red box in the figure shows the module with the highest correlation coefficient in the age range. D The barplot shows the absolute value of the correlation coefficient of each module for different ages

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