Identification and validation of metabolism-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning

Zhaoyang Guo; Yuanye Ma; Yaqing Wang; Hongfei Xiang; Huifei Cui; Zuoran Fan; Youfu Zhu; Dongming Xing; Bohua Chen; Hao Tao; Zhu Guo; Xiaolin Wu

doi:doi:10.18632/aging.204714

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Research Paper Volume 15, Issue 9 pp 3807—3825

Identification and validation of metabolism-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning

Figure 11. Consensus clustering analysis of RA samples based on 4 diagnostic feature biomarkers. (A) The consensus clustering heatmap shows the optimal K classification = 2-9. (B) Consensus CDF. (C) Delta area. (D) Expression of 4 diagnostic feature biomarkers in Cluster A and Cluster B. (E) PCA score plot. (F) The proportion of 23-types immune cells of patients with RA in Cluster A and B.