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Fig. 6 | Molecular Medicine

Fig. 6

From: Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning

Fig. 6

Immune infiltration analysis of ODRGs. A Differences in clinical data, DRG, TMB, TIDE scores, and ssGSEA results between high-risk and low-risk groups. TIDE scores and TMB are presented in the form of bar graphs and density plots, respectively. B Abundance differences of immune cell infiltration algorithms (such as TIMER, CIBERSORT, CIBERSORT-ABS, MCPCOUNTER, XCELL, and EPIC) between high-risk and low-risk groups are presented in a heatmap (displaying statistical differences)

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Molecular Medicine

ISSN: 1528-3658