bio-single-cell-clustering
CommunityCluster cells with PCA, Leiden, and UMAP.
Authorya-way
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Dimensionality reduction, neighbor graph construction, and clustering of single-cell RNA-seq data across Seurat (R) and Scanpy (Python) pipelines to identify cell populations and visualizable embeddings.
Core Features & Use Cases
- Supports both Seurat (R) and Scanpy (Python) for end-to-end clustering
- Performs PCA-based dimensionality reduction, neighbor graph construction, and Leiden/Louvain clustering
- Generates UMAP/tSNE embeddings and cluster visualizations
- Suitable for exploratory analysis, multi-resolution clustering, and interoperable downstream workflows
Quick Start
Provide a preprocessed single-cell dataset (AnnData or Seurat object) and run the clustering workflow to obtain embeddings and cluster assignments.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: bio-single-cell-clustering Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-single-cell-clustering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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