Fig. 1: Screening of DEGs based on a coexpression network combined with immune infiltration correlation analysis.

a PCA after combining the two datasets and removing batch effects. b Volcano plot. The X-axis represents log2 (fold change), the y-axis represents −log10 (p value), the red dots represent upregulated DEGs, and the blue dots represent downregulated DEGs. c Heatmap. The DEGs in each are in the corresponding column of the corresponding row of the samples and their expression levels are represented by color gradient: toward blue, the level is lower; toward red, it is higher. The classification tree on the left side depicts the similarity of the gene expression levels of the samples, where the more neighboring rows there are, the more similar the gene expression levels of the samples are in general. d GO and KEGG analyses. The gene ratio is a fraction, the numerator is the number of genes enriched in this GO enrichment, and the denominator is the number of all genes entered for enrichment analysis, which can be the number of genes obtained from differential expression analysis. p.adjust is the P value after correction. The Count value is the number of genes enriched in this GO term among the genes analyzed. e xCell analysis of 64 cell types. f WGCNA-based coexpression analysis of the TOM of 400 genes randomly selected from the module. g Sample clustering plot with a heatmap of sample traits representing the corresponding immune infiltration score for each sample. h Correlation plot of gene modules associated with sample traits related to immune infiltration.