seuratclusteringofallcells
CommunityCoarse clustering for mixed cell populations.
Authorpwwang
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Performs coarse clustering on ALL cells (including T cells, B cells, and non-T/B cells) before cell type selection. This process identifies broad cell populations to enable downstream T/B cell selection.
Core Features & Use Cases
- Coarse clustering for mixed populations: Identify major lineages before finer analysis.
- Upstream to TOrBCellSelection: Prepares data for downstream T/B cell identification.
- Config-driven Seurat workflow: Uses FindNeighbors, RunUMAP, FindClusters with configurable parameters.
Quick Start
Provide your SeuratPreparing object and run the SeuratClusteringOfAllCells process to generate coarse clusters before T/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: seuratclusteringofallcells Download link: https://github.com/pwwang/immunopipe/archive/main.zip#seuratclusteringofallcells Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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