Research Paper Volume 13, Issue 4 pp 5928—5945

Cell differentiation trajectory predicts patient potential immunotherapy response and prognosis in gastric cancer

Weighted correlation network analysis, differential expression analysis and univariate analysis of GDRGs. (A–D) Based on weighted correlation network analysis, 9 modules were accessed with a soft threshold = 8. (E) Correlation analysis between modules and clinicopathological data. (F) Differential expression analysis identified 258 differentially expressed GDRGs in 6 modules, with |log2(FC)| > 1 and FDR G) Univariate analysis of differentially expressed GDRGs. GC: gastric cancer, GDRGs: GC differentiation-related gene, FDR: false discovery rate.

Figure 6. Weighted correlation network analysis, differential expression analysis and univariate analysis of GDRGs. (AD) Based on weighted correlation network analysis, 9 modules were accessed with a soft threshold = 8. (E) Correlation analysis between modules and clinicopathological data. (F) Differential expression analysis identified 258 differentially expressed GDRGs in 6 modules, with |log2(FC)| > 1 and FDR < 0.05. (G) Univariate analysis of differentially expressed GDRGs. GC: gastric cancer, GDRGs: GC differentiation-related gene, FDR: false discovery rate.