Figure 7.

Development and validation of multiple machine learning-based models predicting responses to immunotherapy with pericyte-related differentially expressed genes. (A) Schematic diagram of predictive models by six machine learning algorithms using the previous cohorts of cancer immunotherapy. (B) LASSO regression for gene selection. (C) ROC curves of machine learning models in the training, validation and testing set. (D) Venn diagram for three optimal models (RFC, GBDT and KNN) that identified the most potential pericyte-related genes in predicting immunotherapeutic responses.