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scanpy

Maintained by k-dense-ai

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq an

Current version
Unknown
License
BSD-3-Clause
Network access
Unknown / not assessed
Review status
Not verified

Problem it solves

This catalog entry helps users find and evaluate scanpy for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider scanpy when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

scanpy is listed as an agent skill in RefHub. The listed maintainer is k-dense-ai. The available catalog summary is: Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq an When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command
npx skills add k-dense-ai/scientific-agent-skills --skill scanpy -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.

Source information and review status

The overview above is structured catalog copy and has no recorded editorial review; technical facts and verification status are shown separately.

Source last reviewed
Not recorded
Catalog source
Open catalog source