Fig. 4

Kaplan–meier analysis of the survival of cervical cancer patients stratified by K-means clustering. The cervical cancer patients were clustered by K-means clustering algorithm (K = 2–4) with top 3, 5, 10, 20, 30, 42 survivla-related miRNAs, followed by Kaplan–meier analysis of the survival of corresponding patients. K-means clustering was performed using kmeans() in “stats” (version 3.6.2) package. Kaplan–meier analysis was performed using Surv() and survfit() function in “survival” (version 3.2–10) package. The Kaplan–meier plot was performed using ggsurvplot() function in “survminer” (version 0.4.9). RStudio (version 3.6.1, RStudio, Inc.) is used