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GitHub Skill

single-cell-rna-qc

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scVerse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scVerse/Scanpy best practices for single-cell analysis.

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scVerse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scVerse/Scanpy best practices for single-cell analysis.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-24
Index updated
2026-01-24
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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