bio-single-cell-doublet-detection
CommunityDetect and remove scRNA-seq doublets with tools.
Data & Analytics#preprocessing#quality-control#scRNA-seq#scrublet#doublet-detection#doubletfinder#scdblfinder
Authorya-way
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Doublets in single-cell RNA-seq data create artificial cell states by capturing more than one cell in a droplet, skewing downstream analyses. This skill detects and removes such doublets to ensure accurate cell clustering and interpretation using Scrublet (Python), DoubletFinder (R), and scDblFinder (R).
Core Features & Use Cases
- Detect doublets with Scrublet, DoubletFinder, and scDblFinder across scRNA-seq datasets.
- Integrate doublet scoring into preprocessing pipelines before QC and clustering.
- Real-world use: clean a Droplet-based scRNA-seq dataset to improve resolution and marker specificity.
Quick Start
Detect doublets in my scRNA-seq data and remove them.
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: bio-single-cell-doublet-detection Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-single-cell-doublet-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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