harmony
CommunityFast, accurate single-cell data integration.
Data & Analytics#integration#harmony#single-cell#dimensionality-reduction#batch-correction#scRNA-seq#seurat
AuthorCHENyiru3
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Harmony addresses batch effects in single-cell data by aligning datasets from different sources while preserving biological signals, enabling integrated analyses across conditions and technologies.
Core Features & Use Cases
- Soft clustering and iterative alignment to remove batch effects while maintaining biology.
- Works with Seurat objects in R; compatible with Python workflows via scanorama or bbknn.
- Scales to large datasets (millions of cells) and supports multi-dataset integration across batches, technologies, and donors.
Quick Start
Install Harmony from CRAN or GitHub, load your Seurat objects, and run RunHarmony to integrate batches.
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: harmony Download link: https://github.com/CHENyiru3/AI-Skills-Collections/archive/main.zip#harmony Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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