Author

Fangfang Xu

Xiamen UniversityORCID 0000-0001-7500-0804Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Bo Ying· 2 shared Chaoyong James YangiD· 2 shared Naiqiao Hou· 2 shared Jia Song· 1 shared Jia Tao SongiD· 1 shared Jiayun WuiD· 1 shared Liansheng WangiD· 1 shared Weihong TaniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Bo Ying

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Spaceland: Histology-Guided Reconstruction of High-Resolution Whole-Organ 3D Molecular Atlases from Sparse Spatial Transcriptomics

Fangfang Xu, Zhenfeng Zhuang, Yun Zhu, Bo Ying, Naiqiao Hou, Weiping Lin, Liansheng Wang, Chaoyong James Yang, Jia Tao Song

Spaceland reconstructs high-resolution 3D molecular atlases from sparse spatial transcriptomics and histology, improving resolution and accuracy across multiple biological contexts.

bioRxiv · Jul 27, 2026 · PreprintBioinformatics

SpatioCell: Deep Integration of Histology and Spatial Transcriptomics for Profiling the Cellular Microenvironment at Single-Cell Level

Naiqiao Hou, Yue Yu, Zhaorun Wu, Yanqi Zhang, Jiayun Wu, Bo Ying, Zhixing Zhong, Fangfang Xu, Zeyu Wang, Chaoyong James Yang, Weihong Tan, Jia Song

SpatioCell integrates histology and spatial transcriptomics to extract single-cell resolution cell type and expression information from ST data, revealing microenvironment features in triple negative breast cancer.

中国科学通报：英文版 · Jun 3, 2026Peer-reviewedBioinformatics