Identification of significant genes with prognostic influence in clear cell renal cell carcinoma via bioinformatics analysis
Author:
Publisher
AME Publishing Company
Subject
Urology,Reproductive Medicine
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Identification of key genes and signalling pathways in clear cell renal cell carcinoma: An integrated bioinformatics approach;Cancer Biomarkers;2024-05-28
2. Identification and Validation of Cytotoxicity‐Related Features to Predict Prognostic and Immunotherapy Response in Patients with Clear Cell Renal Cell Carcinoma;Genetics Research;2024-01
3. An Early Neoplasia Index (ENI10), Based on Molecular Identity of CD10 Cells and Associated Stemness Biomarkers, is a Predictor of Patient Outcome in Many Cancers;Cancer Research Communications;2023-09-29
4. Machine Learning Gene Signature to Metastatic ccRCC based on ceRNA Network;2023-08-02
5. ER export signals mediate plasma membrane localization of transmembrane protein TMEM72;The FEBS Journal;2022-12-19
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