Author

Nan Yan

Tsinghua UniversityORCID 0009-0003-5088-4430Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Jin GuiD· 2 shared Xuegong ZhangiD· 2 shared Haiyang BianiD· 1 shared Jingmin HuangiD· 1 shared Lei WeiiD· 1 shared Lin HouiD· 1 shared Minsheng HaoiD· 1 shared Wenbo GuoiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Jin GuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 8, 2025

SpatialZoomer: multi-scale feature analysis of spatial transcriptomics

Xinqi Li, Yuhan Fan, Yuexin Han…·Jin Gu

SpatialZoomer identifies disease progression signals and spatially heterogeneous niches in spatial transcriptomics data by analyzing features at multiple scales.

DOI 10.1101/2025.09.08.674870

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 9, 2025

GeST: Towards Building A Generative Pretrained Transformer for Learning Cellular Spatial Context

Minsheng Hao, Nan Yan, Haiyang Bian…·Xuegong Zhang

GeST is a generative transformer model pretrained on spatial transcriptomics data to learn spatial context, showing improved generation and zero-shot spatial niche embedding extraction.

3 citations

spatial transcriptomicsdeep learning

𝕏 PostBluesky