Research Paper Volume 16, Issue 8 pp 7331—7356
Integrated multi-omics analysis and machine learning identify hub genes and potential mechanisms of resistance to immunotherapy in gastric cancer
Figure 1. Selection and analysis of differentially expressed genes in the TCGA_STAD cohort. (A) Scale independence and mean connectivity plot generated using WGCNA. (B) Gene dendrogram and nodule color from WGCNA analysis. (C) Merged module correlation coefficients from WGCNA analysis. (D) Results of the univariate Cox regression analysis (P<0.05). (E) Random forest analysis of prognostic genes. (F) Ranking plot of selected features with random forest importance scores> 0.4.