Figure 3 | Scientific Reports

Figure 3

From: Identification of diagnostic biomarkers for idiopathic pulmonary hypertension with metabolic syndrome by bioinformatics and machine learning

Figure 3

WGCNA in IPAH and MS. Drawn by R software program (version 3.40.6; R Foundation for Statistical Computing, Vienna, Austria, https://www.r-project.org/). (A) Analysis of scale independence and average connectivity in IPAH, select soft threshold β = 6. (B) Analysis of scale independence and average connectivity in MS, select soft threshold β = 14. (C,D) Sample clustering based on the expression level of patients in the IPAH/MS dataset. Outlier samples have been filtered. (E,F) Under the clustering tree, gene co-expression modules represented by different colors. (G,H) IPAH/MS Module feature vector clustering heatmap.

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