Author

Gavin Peng

ORCID 0009-0002-5108-3419Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintApr 22, 2026

A Hierarchical Spatial Graph Neural Network Resolves Immunogenic and Tolerogenic Tertiary Lymphoid Structures in Renal Cell Carcinoma

Gavin Peng

This paper introduces a hierarchical spatial graph neural network to classify tertiary lymphoid structures as immunogenic or tolerogenic in renal cell carcinoma using spatial transcriptomics data.

DOI 10.64898/2026.04.07.717084

humanspatial transcriptomics

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