A Five-Gene Signature Predicts Prognosis in Patients with Kidney Renal Clear Cell Carcinoma

<div>Random survival forests-variable hunting analysis reveals the error rate for the data as a function of trees (a) and the importance values for predictors (b). Importance values show the impact of genes on the model.</div>

Computational and Mathematical Methods in Medicine

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Figure 1

Figure 1: A Five-Gene Signature Predicts Prognosis in Patients with Kidney Renal Clear Cell Carcinoma 