seuratclustering

Features and purpose

Performs unsupervised clustering on single-cell RNA-seq data using Seurat. This process finds nearest neighbors, computes UMAP for visualization, and applies Louvain/Leiden algorithms to identify cell clusters. Clusters can be explored at multiple resolutions to balance granularity and biological relevance.

Quick start

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