Research Paper Volume 15, Issue 18 pp 9408—9425
A cellular senescence-related genes model allows for prognosis and treatment stratification of cervical cancer: a bioinformatics analysis and external verification
Figure 4. Ten-fold cross-validation for tuning parameter selection and a gene expression. (A) Plots of the ten-fold cross-validation error rates. (B) LASSO coefficient profiles of the six senescence-related genes. (C) Relationships between the six genes. (D) Gene expression of the six genes and clinicopathological characteristics in different risk groups. (E) The expression of six genes in normal and tumor tissues.