Article

GraphTransformer-CoGNN: A two-stage dynamic graph learning framework for label-scarce cell-type annotation in spatial transcriptomics

2026-08-12

Abstract excerpt

<title>Abstract</title> <p>Accurate cell-type identification in single-cell and spatial transcriptomics is crucial for understanding tissue heterogeneity and disease mechanisms. In semi-supervised settings, however, performance is frequently limited by label scarcity, distribution mismatch between labeled and unlabeled cells, and noisy connections in pre-defined cell graphs. To overcome these challenges, we propo...

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Literature Corpus work: 8ad0706d-7695-5bb5-80b5-206dda673a8e
DOI: 10.21203/rs.3.rs-10407073/v1

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