Probabilistic single-cell RNA-seq with scvi-tools — scVI for a batch-corrected latent space, scANVI for semi-supervised label transfer, and Bayesian differential expression. Reach for this skill to integrate scRNA-seq batches, embed cells for clustering, transfer annotations from a reference onto a query, or score differentially expressed genes per cluster. For spatial deconvolution / mapping use the cell2location, DestVI, or Tangram methods instead.
How to install scvi-tools?
jimliu/science-skills/scvi-tools
$npx -y skills add jimliu/science-skills --skill scvi-toolsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jimliu/science-skills" --skill "jimliu/science-skills/scvi-tools"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jimliu/science-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jimliu/science-skills"` and select the relevant skills, then follow their instructions.
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