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Open access Sep 2026

STCGCar: Graph Contrastive Learning with Reliable Augmentation for Spatial Transcriptomics Clustering.

Accurately identifying spatial domains based on spatial transcriptomics (ST) data can greatly promote our understanding of cellular composition and tissue organization. While graph neural networks (GNNs) have shown significant advancements in spatial clustering, they tend to be insensitive to noisy edges, leading to in...

Li-Hong Peng, Long Yang, Min Chen et al. · 0 citations

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