bio-spatial-transcriptomics-spatial-domains
CommunityIdentify spatial domains in transcriptomics data.
Data & Analytics#spatial-transcriptomics#scanpy#marker-genes#squidpy#spatial-clustering#domain-annotation#tissue-regions
Authorya-way
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Spatial-domain detection in tissue sections requires integrating gene expression with tissue architecture to define coherent regions.
Core Features & Use Cases
- Detect spatial domains by combining expression similarity with spatial proximity.
- Compare multiple clustering strategies (expression-only, spatial-only, and combined graphs) to identify robust tissue regions.
- Annotate domains using domain markers and visualize tissue architecture for downstream interpretation.
- Validate and refine domain boundaries with smoothing and silhouette-like assessments.
Quick Start
Provide spatial transcriptomics data and run the analysis to identify spatial domains and annotate tissue regions.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: bio-spatial-transcriptomics-spatial-domains Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-spatial-transcriptomics-spatial-domains Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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