Fig. 2

Atherosclerosis subtypes and distinct infiltrated immune cells in the samples in the GSE100927 dataset. A Heatmap of ssGSEA scores of all 104 samples in GSE100927 that were clustered based on the Euclidean distance using the Ward.D2 method. B Consensus clustering of ssGSEA scores of 69 atheromatous plaques based on the Euclidean distance using the k-means clustering method with k = 4. C, D Violin plots of stromal scores and immune scores in the plaques with high immune scores (ImmuneScoreH cluster) and the plaques with low immune scores (ImmuneScoreL cluster) of the 69 atheromatous plaques based on the ESTIMATE algorithm. E Heatmap of ssGSEA scores of four subgroups (subgroup1-4 which were divided using the k-means clustering method with k = 4 in B) and two clusters (ImmuneScoreH cluster and ImmuneScoreL cluster based on the immune score calculated by ESTIMATE algorithm) of the 69 atheromatous plaques in GSE100927. F Immune infiltration landscape in the four subgroups and two clusters of 69 atheromatous plaques demonstrated in E