Research Paper Volume 15, Issue 17 pp 8630—8663
Prognostic model of kidney renal clear cell carcinoma using aging-related long noncoding RNA signatures identifies THBS1-IT1 as a potential prognostic biomarker for multiple cancers
Figure 3. Construction of prognostic model using feature genes. (A) Identification of optimal gene set for the signature of CarLncs subgroups based on the SVM-RFE algorithm. (B) Top thirty genes with the highest “MeanDecreaseGini” for the optimal RF model. (C) Venn diagram of the overlapped genes of the two algorithms; (D) Independent prognostic factors for developing the aging related prognostic model were identified by Cox HR model.