scientific-squidpy-advanced
Community高度な空間統計で空間トランスクリプトミクスを解析
Data & Analytics#spatial-transcriptomics#squidpy#co-occurrence#spatial-autocorrelation#ligand-receptor-mapping#cell-niche
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Squidpy-based advanced spatial analysis enables uncovering spatial patterns in tissue samples and extracting meaningful spatial statistics for downstream interpretation.
Core Features & Use Cases
- Moran's I, Geary's C for spatial autocorrelation in tissue contexts.
- Spatial co-occurrence analysis to reveal cell-type neighborhoods and niche structures.
- Ligand-receptor space mapping and spatial centrality assessment to infer cell-cell communication in tissue.
- ToolUniverse integration with CellxGene for interactive spatial transcriptomics exploration.
Quick Start
Load spatial transcriptomics data and apply the squidpy-advanced pipeline to compute spatial autocorrelation, co-occurrence, and niche identification.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-squidpy-advanced Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-squidpy-advanced Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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