scvi-tools
byleonchaox· 59 skills
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
How to install scvi-tools?
leonchaox/qinyan-academic-skills/scvi-tools
$npx -y skills add leonchaox/qinyan-academic-skills --skill scvi-toolsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/leonchaox/qinyan-academic-skills" --skill "leonchaox/qinyan-academic-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/leonchaox/qinyan-academic-skills" that are relevant to the current task. Run `npx skills add "https://github.com/leonchaox/qinyan-academic-skills"` and select the relevant skills, then follow their instructions.
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