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Fig. 7 | Journal of Translational Medicine

Fig. 7

From: Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice

Fig. 7

LR model prediction. GSVA enrichment analysis (a) was enriched in signaling pathways in KEGG gene set (b) is enriched in signaling pathways in the Hallmark gene set (c) and differential analysis of genes related to epithelial-mesenchymal transition (d). Analysis of the difference between immune cell abundance and immune cell abundance (e). Difference analysis with tumor mutation load (TMB). Gene mutation analysis (f). TP53gene mutation rate (g). TP53 and PIK3CA gene mutation rate. The annotation Multi_Hit indicates genes that are mutated multiple times in the same sample

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Journal of Translational Medicine

ISSN: 1479-5876

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