fig4

Machine learning-based integration of omics and clinical data reveals an N-glycan biosynthesis signature predictive of the outcome in low-grade glioma: an <i>in silico</i> study

Figure 4. The elevated NGB risk score was linked to increased levels of both cell proliferation and inflammation. (A and B) The Venn plot of enriched (A) and suppressed (B) DEGs in high-risk patients among the TCGA and CGGA cohorts. (C and D) The dot plot of shared enriched (C) and suppressed (D) DEGs KEGG enrichment analysis. (E) The heatmap illustrates the statistical differences in ssGSEA scores between the high- and low-risk groups across both the TCGA and CGGA cohorts.

Journal of Cancer Metastasis and Treatment
ISSN 2454-2857 (Online) 2394-4722 (Print)

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Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/