Author

Haoteng Gu

Beijing University of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:ATAC-seq· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1

Frequent Co-Authors

Jianyang ZengiD· 2 shared Sai ZhangiD· 2 shared Yaosen MiniD· 2 shared Han Li· 1 shared Han LiiD· 1 shared Hongtao YuiD· 1 shared Johnathan Cooper‐KnockiD· 1 shared Lei HuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Jianyang ZengORCID

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2 papers

Recent·Most cited

ProMeta: A meta-learning framework for robust disease diagnosis and prediction from plasma proteomics

Han Li, Haoteng Gu, LH Hu, Zimo Zhang, Yongji Lv, Peng Gao, Johnathan Cooper‐Knock, Yaosen Min, Jianyang Zeng, Sai Zhang

ProMeta improves disease diagnosis and prediction from plasma proteomics using a meta-learning framework that overcomes data scarcity with biological priors and interpretable features.

Bioinformatics · Jul 1, 2026Peer-reviewedBioinformatics

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