differential-expression
CommunityMarker gene discovery across groups via DE.
Data & Analytics#biology#scanpy#differential-expression#gene-expression#adata#deg-analysis#rank_genes_groups
Authorchenyhvvvv
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Find differentially expressed genes (DEGs) between groups using sc.tl.rank_genes_groups.
The comparison target is completely flexible. The agent must understand the user's intent and prepare the data accordingly — the key is to construct an adata with a categorical column that defines the two (or more) groups to compare.
Core Features & Use Cases
- Flexible group definitions: compare cell types, clusters, slices, ROIs, or user-defined groupings.
- Output: ranked DE results per group, ready for downstream interpretation and visualization.
Quick Start
Prepare an AnnData object with a grouping column and run rank_genes_groups to obtain ranked DE genes.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: differential-expression Download link: https://github.com/chenyhvvvv/STAT-agent/archive/main.zip#differential-expression Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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