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Development and Clinical Validation of a Seven-Gene Prognostic Signature Based on Multiple Machine Learning Algorithms in Kidney Cancer

1 Jan 2021

Abstract excerpt

About a third of patients with kidney cancer experience recurrence or cancer-related progression. Clinically, kidney cancer prognoses may be quite different, even in patients with kidney cancer at the same clinical stage. Therefore, there is an urgent need to screen for kidney cancer prognosis biomarkers. Differentially expressed genes (DEGs) were identified using kidney cancer RNA sequencing data from the Gene...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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PMID: 33626918
DOI: 10.1177/0963689720969176

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