scvi-tools
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.
- Version
- 1.2
- License
- BSD-3-Clause license
Pinned to revision 773250e820cc, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/scvi-tools/SKILL.md
- skills/scvi-tools/references/differential-expression.md
- skills/scvi-tools/references/models-atac-seq.md
- skills/scvi-tools/references/models-multimodal.md
- skills/scvi-tools/references/models-scrna-seq.md
- skills/scvi-tools/references/models-spatial.md
- skills/scvi-tools/references/models-specialized.md
- skills/scvi-tools/references/theoretical-foundations.md
- skills/scvi-tools/references/workflows.md
Every link opens the file at its source, pinned to the revision this page describes.