Fig. 2 | Scientific Reports

Fig. 2

From: Machine learning analysis identified NNMT as a potential therapeutic target for hepatocellular carcinoma based on PCD-related genes

Fig. 2

(a–c) Volcano plots showing differentially expressed genes in three datasets: (a) TCGA-LIHC, with 1,069 downregulated and 519 upregulated genes; (b) GSE14520, with 491 downregulated and 402 upregulated genes; and (c) GSE25097, with 751 downregulated and 869 upregulated genes. Blue and red dots represent significantly downregulated and upregulated genes, respectively, while gray dots represent genes with no significant changes. (d) Venn diagram depicting the overlap of differentially expressed genes among the TCGA-LIHC, GSE14520, GSE25097 datasets, and PCD-related genes. Bubble diagram of GO functional enrichment analysis (e) and KEGG pathway enrichment analysis37,38,39 (f) of intersect genes.

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