SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
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Updated
Feb 9, 2026 - Python
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many other features.
MCP server for spatial transcriptomics analysis through natural language interfaces.
Multi-slice Spatial Transcriptome Domain Analysis.
Degree-preserving Graph Evidence Aggregation and Reweighting (Degree-GEAR) for label-free spatial domain identification with frozen biomedical language models, scanpy, and Leiden
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