Skip to main content
Fig. 3 | BMC Pediatrics

Fig. 3

From: Diagnostic model based on bioinformatics and machine learning to distinguish Kawasaki disease using multiple datasets

Fig. 3

Results of the WGCNA of GSE73461. a Network topology analysis of various soft-threshold power. Soft-threshold power value β = 10 was chosen. b Cluster dendrogram of the 5,000 genes from GSE73461 was ordered by hierarchical clustering of genes based on the value of dissimilarity. Each branch in the figure represents one gene, and each module is assigned different colors. c Heatmap of correlation between gene modules and different phenotypes of GSE73461. Correlation coefficient, along with the p-value, is illustrated in parenthesis underneath. The color was coded according to the correlation coefficient (legend at right). d Scatter plot of module eigengenes in the turquoise modules in the KD group

Back to article page

BMC Pediatrics

ISSN: 1471-2431

Contact us