spatial-domain-graphst
CommunityDetect spatial domains with GraphST on spots.
Data & Analytics#bioinformatics#domain-detection#spatial-transcriptomics#graph-neural-networks#adata#spatial-domain#graphst
Authorchenyhvvvv
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Identifies coherent spatial regions in spot-level spatial transcriptomics data by applying GraphST to learn domain-aware embeddings and assign domain labels per spot.
Core Features & Use Cases
- GraphST-based detection of spatial domains on single-slice data with optional domain refinement.
- Outputs: adata.obs['spatial_domain'] and adata.uns['spatial_domain_params'] to capture domain assignments and method details.
- Use case: reveal tissue architecture by clustering spots into spatial domains and visualize domain maps.
Quick Start
Load your spot-level AnnData, run GraphST to compute spatial domains, and inspect adata.obs['spatial_domain'].
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: spatial-domain-graphst Download link: https://github.com/chenyhvvvv/STAT-agent/archive/main.zip#spatial-domain-graphst Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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