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Fig. 5 | Cancer Cell International

Fig. 5

From: Machine learning-derived identification of tumor-infiltrating immune cell-related signature for improving prognosis and immunotherapy responses in patients with skin cutaneous melanoma

Fig. 5

A MLDIS was developed and validated via the machine learning-based integrative procedure. A A total of 101 kinds of prediction models via LOOCV framework and further calculated the C-index of each model across all validation datasets. Kaplan–Meier curves of OS according to the MLDIS in meta-cohort (log-rank test: P < 0.001) (B), GSE54467 (log-rank test: P = 0.013) (D), GSE59455 (log-rank test: P = 0.003) (F), GSE22153 (log-rank test: P = 0.012) (H), and TCGA-SKCM (log-rank test: P < 0.001) (J). Time-dependent ROC analysis for predicting OS at 1, 3, and 5 years in meta-cohort (C), GSE54467 (E), GSE59455 (G), GSE22153 (I), and TCGA-SKCM (K)

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Cancer Cell International

ISSN: 1475-2867

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