Author

Yitao Yang

The University of TokyoORCID 0009-0000-0370-7405Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yitao Yang1 paper · Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan;

Biology Disciplines

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Bioinformatics· 2

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 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Research Focus:spatial domain detection· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Kenta NakaiiD· 2 shared Bingxu Zhong· 1 shared Hui Min LuiD· 1 shared Martin LozaiD· 1 shared Sung‐Joon ParkiD· 1 shared Xin ZengiD· 1 shared Yan KongiD· 1 shared Yang CuiiD· 1 shared

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2025-2025 · peak 2/yr

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10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Kenta NakaiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 22, 2025

SCOIGET: Predicting Spatial Tumor Evolution Pattern by Inferring Spatial Copy Number Variation Distributions

Yujia Zhang, Yitao Yang, Yan Kong…·Hui Min Lu

SCOIGET infers spatial copy number variation distributions using graph neural networks, improving accuracy and efficiency in tumor evolution analysis.

DOI 10.1101/2025.02.22.639602

spatial transcriptomicsgraph neural network

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