bio-single-cell-clustering

Features and purpose

Dimensionality reduction and clustering for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for running PCA, computing neighbors, clustering with Leiden/Louvain algorithms, generating UMAP/tSNE embeddings, and visualizing clusters.

Quick start

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