1. A Multi-Learning Training Approach for Distinguishing Low and High Risk Cancer Patients
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2. Six Glycolysis-Related Genes as Prognostic Risk Markers Can Predict the Prognosis of Patients with Head and Neck Squamous Cell Carcinoma
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3. A novel signature constructed by differential genes of muscle-invasive and non-muscle-invasive bladder cancer for the prediction of prognosis in bladder cancer
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4. Genomic Analysis Reveals Novel Specific Metastatic Mutations in Chinese Clear Cell Renal Cell Carcinoma
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5. Predictive signature of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer integrating mRNA expression, taxonomic subtypes, and clinicopathological features
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6. Comprehensive Analysis of Cell Cycle-Related Genes in Patients With Prostate Cancer
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7. Identification of tumor microenvironment-related signature for predicting prognosis and immunotherapy response in patients with bladder cancer
   Zhihao Yao et al, 2022, Frontiers in Genetics CrossRef
8. Prediction of Prognosis and Recurrence of Bladder Cancer by ECM-Related Genes
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