Author

Xin-Xia Deng

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Open access Oct 2026

Machine learning-driven identification of a ubiquitination-related prognostic signature and potential target NRDP1 in bladder cancer

A machine learning-based ubiquitination-related prognosis-associated signature showed superior performance over conventional clinical predictors, enabling accurate stratification of BCa patients into high- and low-risk subgroups, and highlights the value of integrating machine learning and ubiquitination biology.

Zi-Fang Zhong, Fu-Chun Zheng, Sheng Li et al. · Scientific Reports · 0 citations

Open access Oct 2026

Machine learning-driven identification of a ubiquitination-related prognostic signature and potential target NRDP1 in bladder cancer

Ubiquitination-regulated molecular events exert crucial regulatory effects on the initiation and progression of bladder cancer (BCa), yet clinically actionable ubiquitination-related prognostic models are still in short supply. This study is designed to construct a ubiquitination-associated prognostic signature for BCa...

Zi-Fang Zhong, Fu-Chun Zheng, Sheng Li et al. · Scientific Reports · 0 citations