scvi-tools · v1.0.0
scvi-tools
★ Not rated yet Review score 80/100 ✓ Scanned English Exchange · 1 credit
What it does
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.
Requirements
- Works with Claude Code, Codex
- No scripts included
- 1 file, 8 KB
Lineage
Each strand is a contributor. Each crossing is a version. Version historyVersions
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- v1.0.0 MAJOR Current
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