clustermarkersofallcells
CommunityIdentify cell-type markers before selection.
Data & Analytics#differential-expression#seurat#cluster-analysis#cell-type-identification#marker-genes#single-cell-rna-seq
Authorpwwang
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Finds marker genes for clusters of ALL cells before T/B cell selection. This process identifies differentially expressed genes across unsupervised clusters to help identify broad cell types (T cells, B cells, Myeloid cells, NK cells, etc.) in mixed immune cell populations.
Core Features & Use Cases
- Identifies broad cell-type markers across all clusters to guide downstream T/B cell selection.
- Supports differential expression analysis using Seurat FindMarkers-like parameters and enrichment of markers for downstream annotation.
- Provides example workflows for Quick Identification of major lineages prior to targeted subtyping.
Quick Start
Run the clustering markers step to extract top markers per cluster for downstream T or B cell selection.
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: clustermarkersofallcells Download link: https://github.com/pwwang/immunopipe/archive/main.zip#clustermarkersofallcells Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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