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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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.
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