Author

Yufeng He

Peking UniversityORCID 0000-0002-3468-2826Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:protein structure· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Ce LuoiD· 2 shared Peng ZhangiD· 2 shared Pengfei ReniD· 2 shared Yanping ZhaoiD· 2 shared Zexian ZengiD· 2 shared Zhe Zhang· 2 shared Zongxu ZhangiD· 2 shared Haorui ZhangiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Ce LuoORCID

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Author profile →

3 papers

Recent·Most cited

Integrative spatial multi-omics reveals prognostic tumor niches in female genital tumors

Xu Tian, Siyu Lin, Yuling Wu, Yufeng He, Zongxu Zhang, Yanping Zhao, Peng Zhang, Luyang Zhao, Wen Yang, Mingxia Ye, Rui Zhang, Liang Wen, Pengfei Ren, Ce Luo, Zhe Zhang, , Yuanguang Meng

The paper presents an integrative spatial multi-omics atlas of female genital tumors, identifying prognostic tumor niches and developing a model to predict their abundance from histopathology.

bioRxiv · Nov 24, 2025 · PreprintGenomics

Systematic Benchmarking of High-Throughput Subcellular Spatial Transcriptomics Platforms

Pengfei Ren, Rui Zhang, Yunfeng Wang, Peng Zhang, Ce Luo, Suyan Wang, Xiaohong Li, Zongxu Zhang, Yanping Zhao, Yufeng He, Haorui Zhang, Yufeng Li, Zhidong Gao, Xiuping Zhang, Yahui Zhao, , Zexian Zeng

The paper benchmarks five high-throughput subcellular spatial transcriptomics platforms using multi-omics data from cancer samples, evaluating performance across multiple metrics.

bioRxiv · Dec 23, 2024 · PreprintGenomics

CavitySpace: A database of potential ligand binding sites in the human proteome

Shiwei Wang, Haoyu Lin, Zhixian Huang, Yufeng He, Xiaobing Deng, Youjun Xu, Jianfeng Pei, Luhua Lai

CavitySpace identifies potential ligand binding sites in the human proteome using predicted structures, aiding in drug design and function prediction.

Biomolecules · Jul 11, 2022Peer-reviewedBioinformatics