Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer

Figure 2 Identification of differentially expressed genes from The Cancer Genome Atlas and Gene Expression Omnibus Datasets. A: The heat map of GSE19826 data set, with 2202 up-regulated genes and 2700 down-regulated genes. The blue normal samples, and the red are tumor samples; B: The volcanic map of GSE19826 dataset; C: The heat map of GSE79973 dataset, with 665 up-regulated genes and 1507 down-regulated genes. The blue are normal samples, and the red are tumor samples; D: The volcanic map of GSE79973 dataset; E: The heat map of GSE29998 dataset, with 4346 up-regulated genes and 3002 down-regulated genes. The blue are normal samples, and the red are tumor samples; F: The volcanic map of GSE29998 data set; G: The heat map of The Cancer Genome Atlas (TCGA) data set, with 2133 up-regulated genes and 2349 down-regulated genes. The blue are normal samples, and the red are tumor samples; H: The volcanic map of TCGA dataset. In B, D, F and H, the red dots are down-regulated genes and the blue dots are up-regulated genes. TCGA: The Cancer Genome Atlas.