Author

Han Li

Nankai UniversityORCID 0000-0002-7380-6174Unclaimed ORCID profile · follow to get notified of new preprints

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Han Li3 papers · Howard Hughes Medical Institute

Biology Disciplines

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Bioinformatics· 2 Genetics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Approach:graph neural network· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Sai ZhangiD· 3 shared Jianyang ZengiD· 2 shared Peizhuo WangiD· 2 shared Sheng MaoiD· 2 shared Xudong XingiD· 2 shared Yaosen MiniD· 2 shared Danqing YiniD· 1 shared Haoteng Gu· 1 shared

Activity by Year

2024-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersGenetics

Sai ZhangORCID

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Author profile →

4 papers

Recent·Most cited

PRSNet-2: End-to-end genotype-to-phenotype prediction via hierarchical graph neural networks

Han Li, Zisen Shan, Hongyu Fu, Yiwei Du, Shuaishuai Gao, Peng Gao, Johnathan Cooper‐Knock, Yaosen Min, Xudong Xing, Sai Zhang

PRSNet-2 predicts complex phenotypes from genotypic data using a hierarchical graph neural network, outperforming baselines and reducing overfitting.

bioRxiv · Nov 22, 2025 · PreprintGenetics

SpaTranslator: A deep generative framework for universal spatial multi-omics cross-modality translation

Hongyu Dong, Sheng Mao, Yukuan Liu, Tian Tian, Lihua Zhang, Juanshu Wu, Shichen Zhang, Peng Jiang, Danqing Yin, Xudong Xing, Peizhuo Wang, Han Li

SpaTranslator translates spatial omics data across modalities using a deep generative framework, outperforming baselines in clustering and biological coherence.

bioRxiv · Nov 15, 2025 · PreprintBioinformatics

STARNet enables spatially resolved inference of gene regulatory networks from spatial multi-omics data

Lei Hu, Shichen Zhang, Xuting Zhang, Yihai Luo, Haoteng Gu, Peng Liu, Sheng Mao, Li Chen, Yuhao Xia, Minghao Yang, Sai Zhang, Yaosen Min, Han Li, Peizhuo Wang, Hongtao Yu, Jianyang Zeng

STARNet infers gene regulatory networks from spatial multi-omics data, revealing domain-specific regulatory interactions in tissues.

bioRxiv · Aug 21, 2025 · PreprintBioinformatics

PRS-Net: Interpretable polygenic risk scores via geometric learning

Han Li, Jianyang Zeng, Michael P. Snyder, Sai Zhang

PRS-Net improves disease prediction by modeling genetic nonlinearity using deep learning and identifies key genes and interactions influencing Alzheimer's and multiple sclerosis risk.

Lecture notes in computer science · Jan 1, 2024Peer-reviewedGenetics