Figure 2
From: Comprehensive application of AI algorithms with TCR NGS data for glioma diagnosis
(A) displays correlation coefficient plots illustrating the relationship between the two-dimensional features and phenotype factors. (B,C) present Box plots showcasing the unique TCRβs and associated TCRβs, respectively, both of which exhibit high relevance to the phenotype. (D) showcases ROC curves for the two-dimensional datasets with a P-value cutoff of 0.001, demonstrating high AUC values. (E–J) shows the decision boundaries of various algorithms at different P-value cutoffs.
