The results demonstrated strong agreement between the unsupervised and supervised clustering, suggesting that the datasets represented by SERPINA1, C3, C4B, EZR, FGA, TMSB4X, DCHS2, FGB, and ATXN2L are suitable for further cervical cancer classification tasks (Supplementary Figure S1). Here, DCHS2 is linked to cervical cancer.