@k-dense-ai/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.
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Checking scan reports and verification data.
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No demos yet. To add one, ask your AI agent: "Submit a demo for @k-dense-ai/scvi-tools" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @k-dense-ai/scvi-tools"
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