bio-single-cell-batch-integration

Name: bio-single-cell-batch-integration
Availability: InStock
Author: ya-way

Community

Integrate scRNA-seq batches across datasets.

Data & Analytics #harmony #scvi-tools #seurat #scrna-seq #batch-integration #multi-batch

Authorya-way

Version1.0.0

Installs0

System Documentation

What problem does it solve?

Integrates multiple scRNA-seq batches to remove technical variation while preserving biology.

Core Features & Use Cases

Harmony-based batch correction to align embeddings across samples.
scVI-based integration for deep latent-space batch removal.
Seurat anchors and fastMNN alternatives for cross-platform integration.
Example: merge two experiments to compare cell types across batches.

Quick Start

Run a batch integration on two Seurat objects to obtain a harmonized embedding.

Dependency Matrix

Required Modules

scanpyharmonypymatplotlib

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: bio-single-cell-batch-integration
Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-single-cell-batch-integration

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

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