Author

Xiaofeng Wu

Huazhong Agricultural UniversityORCID 0000-0002-4975-7333Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiaofeng Wu1 paper · Huazhong Agricultural University

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:mouse· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Gang CaoiD· 2 shared Weize XuiD· 2 shared Anran GaoiD· 1 shared Chengchao WuiD· 1 shared Da LiniD· 1 shared Guohua Du· 1 shared Haoqi WangiD· 1 shared Huaiyuan CaiiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Gang CaoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

U-Probe: universal agentic probe design for imaging-based spatial-omics

Qian Zhang, Huaiyuan Cai, Jiahao Zhang, Lingkai Zhang, Xiaoyu Wu, Yuting Wei, Yu Chen, Xiaofeng Wu, Wen Su, Wenbao Qi, Xiaojie Qiu, Gang Cao, Weize Xu

U-Probe is a universal probe design platform that enables agentic, AI-assisted creation of FISH probes for spatial-omics applications, validated across multiple scenarios.

bioRxiv · Apr 15, 2026 · PreprintBioinformatics

Development of Multiomics in situ Pairwise Sequencing (MiP-Seq) for Single-cell Resolution Multidimensional Spatial Omics

Xiaofeng Wu, Weize Xu, Lulu Deng, Yue Li, Zhongchao Wang, Leqiang Sun, Anran Gao, Haoqi Wang, Xiaodan Yang, Chengchao Wu, Yanyan Zou, Keji Yan, Zhixiang Liu, Lingkai Zhang, Guohua Du, , Gang Cao

The paper develops MiP-Seq, a multiomics in situ sequencing method, to analyze spatial gene profiles, mutations, and RNA modifications at single-cell resolution.

bioRxiv · Jan 7, 2023 · PreprintMolecular Biology