Fig. 5

DEGs collection and risk model generation. A The volcano plot showed the down-regulated and up-regulated dsRBP cluster-associated DEGs. B Functional enrichment analysis of DEGs. C There were 42 combinations of machine learning algorithms for the risk model in CGCI-HTMCP-CC, GSE44001, and TCGA-CESC datasets. D The association between signature genes and the OS of cervical cancer in the TCGA-CESC cohort (high-risk group: n = 152; low-risk group, n = 152). E Kaplan–Meier curve of cervical cancer patients in TCGA-CESC dataset. F ROC curve and AUC of 12-, 24-, 36-, 48- and 60-month survival in TCGA-CESC cohort. G The relationship between clinic variables and two groups, including age, T stage, N stage, M stage, and neoplasm disease stage. DEGs differentially expressed genes, ROC receiver operating characteristic, AUC area under the curve. *p < 0.05