Author

Ting Wei

Shanghai Jiao Tong UniversityORCID 0000-0001-9008-0339Unclaimed ORCID profile · follow to get notified of new preprints

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Ting Wei4 papers · Shanghai Jiao Tong University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:protein structure prediction· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ruitian GaoiD· 2 shared Yanran Ma· 2 shared Zhangsheng YuiD· 2 shared Botao FaiD· 1 shared Guoqiang CheniD· 1 shared Jing SuniD· 1 shared Junke ZhengiD· 1 shared Luke J. JohnstoniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Ruitian GaoORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedJul 7, 2024

HEARTSVG: a fast and accurate method for spatially variable gene identification in large-scale spatial transcriptomic data

Xin Yuan, Yanran Ma, Ruitian Gao…·Zhangsheng Yu

HEARTSVG identifies spatially variable genes in spatial transcriptomic data with high accuracy and efficiency, uncovering biologically significant patterns in colorectal cancer.

33 citationstop 4%

humanspatial transcriptomics

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BioinformaticsCell Reports MedicinePeer-reviewedMay 1, 2024

Predicting Gene Spatial Expression and Cancer Prognosis: An Integrated Graph and Image Deep Learning Approach Based on HE Slides

Ruitian Gao, Xin Yuan, Yanran Ma…·Zhangsheng Yu

The paper introduces an IGI-DL model that predicts gene spatial expression from HE images and improves cancer prognosis using a risk score derived from predicted gene expression.

45 citationstop 2%

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