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Zhu-Hong You

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Open access Sep 2026

Multi-omic data integration model based on inductive graph learning and cascaded co-attention for cancer classification

A comprehensive analysis of data from multiple omics is essential for devising precise therapeutic strategies for complex diseases. The effective integration and analysis of multi-omic data can boost the precise classification of disease subtypes. However, existing methods for multi-omic data integration learning suf...

Yan-Mei Lin, Ya-Ting Zhong, Zhu-Hong You et al. · 0 citations
Aug 2026

A Novel Graph Transformer Framework for Predicting Drug-Disease Associations with Structural Awareness.

SGTL-DDA is proposed, a novel graph transformer framework designed to incorporate structural information and domain-specific knowledge from heterogeneous biological information networks (HBINs) that successfully identifies both known therapeutics and novel repositioning candidates, supported by molecular docking result...

Bowei Zhao, Hui Zhao, Yu-An Huang et al. · 0 citations

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