scvi-tools

github:aiskillstore/marketplace · first committed 2026-01-13 · source · badge

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.

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Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Version history

1 commit to this file on GitHub (newest first).

2026-01-13 · commit 222b7de · refactor: rename plugins/ to skills/ for terminology consistency

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