torbcellselection
CommunityAuto-separate T and B cells from mixed populations
Authorpwwang
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Separates T and non-T cells or B and non-B cells from a mixed cell population using clonotype percentages from VDJ data, indicator gene expression, custom selector expressions, or automated k-means clustering.
Core Features & Use Cases
- Supports multiple separation strategies: VDJ clonotype percentage, marker-based identification (CD3 markers for T cells; CD19/MS4A1 for B cells), user-defined selectors, and unsupervised k-means clustering.
- Integrates with SeuratClusteringOfAllCells and ScRepLoading to enable seamless downstream TCR/BCR analysis workflows.
- Provides cluster-level selection with detailed outputs, including reports and plots for validation.
Quick Start
Configure [TOrBCellSelection] with SeuratClusteringOfAllCells (and ScRepLoading if using VDJ data), then run to automatically identify and retain T/B cell clusters.
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: torbcellselection Download link: https://github.com/pwwang/immunopipe/archive/main.zip#torbcellselection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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