scvi-tools-single-cell
From the author
Deep generative models for single-cell omics: probabilistic batch correction (scVI), semi-supervised annotation (scANVI), CITE-seq RNA+protein (totalVI), transfer learning (scARCHES), and DE with uncertainty. Unified setup→train→extract API on AnnData. Use harmony-batch-correction for fast linear correction without deep learning; muon for multi-modal MuData workflows.
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npx skills add jaechang-hits/SciAgent-Skills --skill scvi-tools-single-cell -a claude-code
Installs to .claude/skills/scvi-tools-single-cell/ · Each command fetches the skill straight from GitHub with the open skills CLI.
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