Research Paper Volume 13, Issue 7 pp 9976—9990

Identification of vital prognostic genes related to tumor microenvironment in pheochromocytoma and paraganglioma based on weighted gene co-expression network analysis

Determination of soft-thresholding power and scatter plot of module eigengenes in WGCNA. (A, C) Analysis of the scale-free fit index for various soft-thresholding powers. (B, D) Analysis of the mean connectivity for various soft-thresholding powers. (E, F) Scatter plot of module eigengenes in key modules that were highly correlated with immune sores. (G, H) Scatter plot of module eigengenes in key modules that were highly correlated with stromal sores.

Figure 2. Determination of soft-thresholding power and scatter plot of module eigengenes in WGCNA. (A, C) Analysis of the scale-free fit index for various soft-thresholding powers. (B, D) Analysis of the mean connectivity for various soft-thresholding powers. (E, F) Scatter plot of module eigengenes in key modules that were highly correlated with immune sores. (G, H) Scatter plot of module eigengenes in key modules that were highly correlated with stromal sores.