celltype-deconvolution
CommunityDeconvolve spatial data to per-spot cell types.
Authorchenyhvvvv
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Spatial transcriptomics analysis often lacks per-spot cell-type resolutions; this skill provides reference-based deconvolution using RCTD to infer cell-type proportions for each spatial feature.
Core Features & Use Cases
- RCTD-based deconvolution: estimates cell-type proportions per spatial spot using a single-cell reference.
- Dominant cell type assignment: derives a per-spot main cell type for visualization.
- Use Case: annotate tumor microenvironments on Visium slides by mapping spots to immune and tumor cell types.
Quick Start
Provide a spatial dataset and a linked annotated single-cell reference to run the deconvolution.
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: celltype-deconvolution Download link: https://github.com/chenyhvvvv/STAT-agent/archive/main.zip#celltype-deconvolution Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.