The present study employed two machine learning techniques, namely LASSO and SVM-RFE models, to identify three potential target genes (MAP1LC3A, TOMM40, and VDAC1) associated with PCOS. This evidence concerns the gene VDAC1 and polycystic ovary syndrome.