Fig. 3 | Scientific Reports

Fig. 3

From: Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis

Fig. 3

Identification of diagnostic genes for NSCLC. (A,B): Selection of 18 candidate genes from EAD-EGs using lasso logistic regression with 10-fold cross-validation. (C,D) Selection of 29 candidate genes using the SVM-RFE algorithm. (E,F) Analysis of the RF model yielding 11 candidate genes. (G) Integration of the results from the three machine learning models to identify the 4 most significant diagnostic genes.

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