Fig. 4

Screening feature genes by different machine learning methods. A Candidate genes are obtained by taking the intersection of Venn diagrams. B Random Forest calculated the top 10 genes in terms of gene importance. C, D Key genes were screened using the LASSO algorithm. E, F The SVM-RFE algorithm screens biometric genes, and the point with the lowest accuracy and error rate is used as the number of key genes screened by SVM-RFE. G The key genes obtained from the three machine learning algorithms are taken as an intersection to get the feature genes. H Demonstration of the location of feature genes in the genome by circus plot