Apply best practices

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Timothy Kassis
2025-10-21 12:50:07 -07:00
parent 998a514f74
commit 000a45c0e9
80 changed files with 347 additions and 200 deletions

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@@ -7,11 +7,11 @@ description: "Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalizati
## Overview
This skill provides comprehensive support for analyzing single-cell RNA-seq data using scanpy, a scalable Python toolkit built on AnnData. Use this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.
Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.
## When to Use This Skill
Activate this skill when:
This skill should be used when:
- Analyzing single-cell RNA-seq data (.h5ad, 10X, CSV formats)
- Performing quality control on scRNA-seq datasets
- Creating UMAP, t-SNE, or PCA visualizations