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Author

Ping Zhang

2 papers indexed here

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Open access Aug 2026

NSINR: Neuro-symbolic interpretability noise-robust framework for disease ceRNA biomarker prediction

Identifying biomarkers of cancers presents a persistent challenge due to insufficient interpretability in model decision. Current approaches only provide explainability that quantifies the contribution of input features or local substructures to predictions at the data level, yet they fail to uncover the inherent reaso...

Ping Zhang, Weicheng Sun, Jin-Sheng Xu et al. · 0 citations
Open access Sep 2026

Prior-Informed Graph Skeleton Learning for ncRNA–Drug Resistance Association Prediction

Identifying the associations between non-coding RNAs and drug resistance (RDRAs) is crucial for uncovering resistance mechanisms and screening effective biomarkers. However, existing graph-based methods typically rely on purely data-driven learning and commonly assume a simplified noise independence hypothesis, overloo...

Li-Ye Zhu, Ping Zhang · 0 citations

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