Bioinformatics Analysis Revealing the Correlation between NF-<i>κ</i>B Signaling Pathway and Immune Infiltration in Gastric Cancer

<div>The expression of M6A regulatory genes in low- and high-risk groups. (a) Heatmap showed the expression of M6A regulatory genes in GC sample from TCGA. (b) The correlation between M6A regulatory genes and the risk score, as well as seven hub genes. (c) The expression of the M6A regulatory genes in low- and high-risk groups. 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Computational and Mathematical Methods in Medicine

fig7

Figure 7

Figure 7: Bioinformatics Analysis Revealing the Correlation between NF-<i>κ</i>B Signaling Pathway and Immune Infiltration in Gastric Cancer 

Computational and Mathematical Methods in Medicine

Bioinformatics Analysis Revealing the Correlation between NF-κB Signaling Pathway and Immune Infiltration in Gastric Cancer

Figure 7