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. 2022 Nov 17;13:1074271. doi: 10.3389/fimmu.2022.1074271

Figure 5.

Figure 5

Machine learning in the identification of cuproptosis-signature. (A–C) Construction of cuproptosis-signatures using LASSO regression, SVM, and RF algorithm. (D) The Venn diagram shows the overlap of candidate genes between the above three algorithms. (E) Circos plot displaying the relationship between the overlapping cuproptosis genes. (F) ROC curve of cuproptosis-signatures in CD diagnosis. LASSO, least absolute shrinkage and selection operator; SVM, support vector machine; RF, random forest; ROC, receiver operating characteristic.