Author

Ruhong Zhou

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#machine learning Open access Nov 2024

A Multi-Modal Deep Learning Framework with Both Sequence and Structure for Tumor Antigens Prediction

A pioneering multi-modal framework with TCR-peptide-HLA sequence and structure features incorporating an attention mechanism designed to accurately identify tumor antigens with immunogenic properties, which presents a brand-new and promising approach for cancer immunotherapies that target tumor antigens.

Ruofan Jin, Jingxuan Ge, Guanqiao Zhang et al. · bioRxiv · 2 citations

Open access Aug 2026

MolJam: A Multidimensional Framework for Assessing Molecular Dataset Quality and Its Impact on Machine Learning

It is demonstrated that both dataset quality and data quantity contribute to model performance and, notably, that retaining molecules with incomplete stereochemical information can outperform their removal when the resulting gain in data quantity offsets the quality penalty.

Peng Wang, Zhaoqi Shi, Xufan Gao et al. · bioRxiv · 0 citations