bbknn

Community

Fast, simple batch correction for scRNA-seq data.

AuthorCHENyiru3
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Batch-balanced KNN provides batch-aware integration of single-cell data by balancing neighbor contributions across batches to suppress technical variation while preserving biology.

Core Features & Use Cases

  • Batch-aware integration for multi-batch scRNA-seq datasets compatible with Scanpy workflows.
  • Fast construction of a balanced kNN graph to improve downstream UMAP, clustering, and interpretation.
  • Suitable for large datasets and scenarios with multiple batches or experiments.

Quick Start

Install BBKNN and run bbknn on your AnnData object to generate a batch-balanced neighbor graph.

Dependency Matrix

Required Modules

None required

Components

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: bbknn
Download link: https://github.com/CHENyiru3/AI-Skills-Collections/archive/main.zip#bbknn

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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