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 10. Immune infiltration analysis. (A) Heatmap shows the fraction of 23 types of immune cells in HC and RA groups based on the ssGSEA algorithm. (B) Principal component analysis (PCA) reveals a significant difference based on the 23 immune cells. (C) Correlation analysis of 23 immune cells. (D) The quantitative results of 23-type immune cells. Statistical significance: *P < 0.05; **P < 0.01; ***P < 0.001. ns: no significance.