scvi-tools
Fits probabilistic models for single-cell omics, including scVI batch integration, scANVI annotation, totalVI CITE-seq, MultiVI RNA/ATAC integration, and posterior differential expression. Use for generative modeling, reference mapping, multimodal analysis, or model-based uncertainty; use scanpy for standard preprocessing and exploratory analysis.
- Version
- 1.4
- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.12+ and scvi-tools with model-specific dependencies. CPU supported; accelerator requirements depend on PyTorch and hardware. Network access is needed for installation or optional dataset/genome downloads, not local model fitting.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/scvi-tools/SKILL.md
- skills/scvi-tools/SKILL_CN.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
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