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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Construction of a predictive model for immunotherapy efficacy in lung squamous cell carcinoma based on the degree of tumor-infiltrating immune cells and molecular typing

Fig. 1

NMF typing divides the training set into low and high immune cell infiltration types. A NMF typing using the enrichment score matrix of 28 types of immune cells in the training set. Cophenetic correlation coefficient k = 2–10; B Heat map of the samples typing in the training set for NMF typing = 2; C t-SNE analysis divides patients with LUSC in the training set into two subtypes; D PCA divides patients with LUSC in training set into two subtypes; E correlation analysis between the enrichment scores of anti- and pro-tumor immunity in two NMF types; F enrichment score of anti- and pro-tumor immunity between C2 and C1 patients; G enrichment scores of 28 types of immune cells between types C1 and C2 patients. **P < 0.01; ****P < 0.0001

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