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September 17, 2026Genome ResearchOpen Access

Dual-contrastive learning for spatial domain identification in spatial transcriptomics with STAMGC

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Authors

ZZZhuoyue ZhangQWQianmao WenJXJunlin Xu

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6aabb61e5f706d05830e4839https://doi.org/10.1101/gr.281999.126
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1SpatialDG: a novel spatial domain identification method for spatially resolved transcriptomics data based on dual-graph neural network2026
  2. 2Spatial domains identification in spatial transcriptomics by domain knowledge-aware and subspace-enhanced graph contrastive learning2024 · 1 citations
  3. 3Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks with Adaptively Feature-Spatial Balance and Contrastive Learning2024
  4. 4Biased multi-view contrastive learning with attentive masking for spatial transcriptomic analysis2026
  5. 5GatorST: A Versatile Contrastive Meta‐Learning Framework for Spatial Transcriptomic Data Analysis2026 · 1 citations