Author

Yongshuo Zong

University of EdinburghORCID 0000-0002-3267-753XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Approach:graph neural network· 2 Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Tingyang YuiD· 2 shared Xuesong WangiD· 2 shared Yixuan WangiD· 2 shared Yu LiiD· 2 shared Zhihang HuiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Tingyang YuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 28, 2022

scMinerva: an Unsupervised Graph Learning Framework with Label-efficient Fine-tuning for Single-cell Multi-omics Integrated Analysis

Tingyang Yu, Yongshuo Zong, Yixuan Wang…·Yu Li

scMinerva is an unsupervised graph learning framework for single-cell multi-omics analysis that outperforms existing methods with few labels and provides biomarkers for COVID-19 cell differentiation.

DOI 10.1101/2022.05.28.493838

humanscRNA-seq

BioinformaticsbioRxivPreprintJan 14, 2022

✦ In-depth digest

conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics

Yongshuo Zong, Tingyang Yu, Xuesong Wang…·Yu Li

conST learns embeddings from gene expression, spatial neighbors, and histology via three-level contrastive learning, reaching adjusted Rand index 0.65 on spatialLIBD slice 151673, with GNNExplainer-based explanations.

113 citations

humanmouse