sc-doublet-detection
OfficialIdentify and remove doublets from scRNA-seq data.
AuthorTianGzlab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical issue of doublets (two cells captured as one) in single-cell RNA sequencing data, which can lead to artificial cell populations and skewed downstream analysis.
Core Features & Use Cases
- Multiple Detection Methods: Supports Scrublet (Python), DoubletFinder (R), and scDblFinder (R) for robust doublet identification.
- Automated QC: Integrates seamlessly as an essential quality control step before cell clustering.
- Use Case: After running a single-cell experiment, use this Skill to automatically detect and filter out doublets, ensuring the purity of your cell populations for accurate biological interpretation.
Quick Start
Run doublet detection on the provided AnnData file using the scDblFinder method.
Dependency Matrix
Required Modules
scanpynumpyscrublet
Components
scriptsreferences
💻 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: sc-doublet-detection Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#sc-doublet-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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