RB1, MYC, and EXO1 emerged as the most relevant predictors of CIN among all covariates, with variable importance index (VIMP) indicating that the prediction error rate would increase by up to 30% if the CNAs of these genes were randomly permuted in the model (Fig. 3a). The gene discussed is RB1; the disease is cervical squamous intraepithelial neoplasia.