scientific-computingresearch
bio-single-cell-clustering
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. Use when performing dimensionality reduction and clustering on single-cell data.
maintainer
GPTomics
Actualizado 2/13/2026
Estrellas
471
Forks
81
quick start
Installation and usage
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. Use when performing dimensionality reduction and clustering on single-cell data.
Instalación
$ install --globalskills.sh
Uso
Después de instalarlo, puedes usar este skill ejecutando el siguiente comando en tu terminal:
skills use bio-single-cell-clustering