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Fig. 3 | Molecular Medicine

Fig. 3

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

Fig. 3

Screening of DRGs through disulfidptosis clustering. A Differential gene expression of disulfidptosis-related genes between two disulfidptosis-related clusters. B Kaplan–Meier survival curves of patients in the two clusters. C Differential abundance of immune cell infiltration in DRG-related clusters. D By performing unsupervised clustering on the TCGA dataset, GSE65904, and GSE54467, a total of 40 DRGs were obtained

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Molecular Medicine

ISSN: 1528-3658