seuratclustering - Cluster single-cell RNA-seq data with Seurat
Performs unsupervised single-cell RNA-seq clustering with Seurat using nearest-neighbor graphs, UMAP, and Louvain or Leiden algorithms.
Tags
Updated: 2026-10-01Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Find nearest neighbors
- Compute UMAP embeddings
- Identify cell clusters
- Explore clustering resolutions
Inputs
- Seurat object
- Clustering configuration
Outputs
- Nearest-neighbor graphs
- UMAP embedding
- Cluster labels
- Updated Seurat object
- Cached intermediate results
Requirements
- Seurat-compatible runtime
- Prepared single-cell RNA-seq data