Author

Xiaohan Xing

Chinese University of Hong KongORCID 0000-0002-9992-3387Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Fan YangiD· 1 shared Hang LiiD· 1 shared Jianhua YaoiD· 1 shared Jun ZhangiD· 1 shared Junzhou HuangiD· 1 shared Max Q.‐H. MengiD· 1 shared Yu Zhao· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Fan YangORCID

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1 paper

Recent·Most cited

Multi-Level Attention Graph Neural Network for Clinically Interpretable Pathway-Level Biomarkers Discovery

Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Junzhou Huang, Max Q.‐H. Meng, Jianhua Yao

The paper introduces MLA-GNN, a graph neural network that discovers clinically interpretable pathway-level biomarkers by integrating multi-level graph features and a saliency mechanism, achieving state-of-the-art results on transcriptomic and proteomic data.

bioRxiv · Dec 3, 2020 · PreprintBioinformatics