Author

Xin Zeng

Institute of Medical Science, The University of TokyoORCID 0000-0001-9000-0749Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:spatial domain detection· 2 Assay:spatial transcriptomics· 2 Approach:diffusion model· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

Kenta NakaiiD· 2 shared Yang CuiiD· 2 shared Feifei CuiiD· 1 shared Hua Wang ShiiD· 1 shared Leyi WeiiD· 1 shared Martin LozaiD· 1 shared Ruheng WangiD· 1 shared Sung‐Joon ParkiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Kenta NakaiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 12, 2025

DiffusionST: A deep generative diffusion model-based framework for enhancing spatial transcriptomics data quality and identifying spatial domains

Yaxuan Cui, Yang Cui, Ruheng Wang…·Leyi Wei

DiffusionST improves spatial transcriptomics data quality and identifies spatial domains through a diffusion model and graph convolutional network.

3 citations

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedJan 27, 2025

STAIG: Spatial Transcriptomics Analysis via Image-Aided Graph Contrastive Learning for Domain Exploration and Alignment-Free Integration

Yitao Yang, Yang Cui, Xin Zeng…·Kenta Nakai

STAIG integrates spatial transcriptomics data with histological images using graph-contrastive learning to analyze spatial domains without prealignment.

46 citationstop 1%

spatial transcriptomicsdeep learning

𝕏 PostBluesky