Fig. 3

Consensus clustering analysis. A The bar plot representing the cluster consensus scores for different numbers of clusters (K ranges from 2 to 10) for patients with FM. When K = 2, both the cluster consensus scores were greater than 0.8, representing the higher stable. B Delta area plot reflecting the relative changes in the area under the CDF curve from k to k-1. C Consensus matrix heatmap of FM microarray samples at k = 2, the samples are clearly clustered into two clusters. Therefore K = 2 was identified the optimal value for consensus clustering. D Heatmap visualizing the expression of DEIGs in the two subtypes in FM patients. E Violin plots indicating the differences of inflammatory response scores among the C1, C2 and control group. * p-value was adjusted by Bonferroni method. CDF cumulative distribution function