bioinformaticsresearch
scanpy
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.
maintainer
lamm-mit
Actualizado 3/14/2026
Estrellas
156
Forks
35
quick start
Installation and usage
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.
Instalación
$ install --globalskills.sh
Uso
Después de instalarlo, puedes usar este skill ejecutando el siguiente comando en tu terminal:
skills use scanpy