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scvi-tools

maintained by K-Dense-AI

star 8.6k account_tree 1k verified_user MIT License
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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.

Key Features

  • Comprehensive skill evaluation and performance tracking
  • Community-driven ratings and reviews
  • Easy integration with Claude Code
  • Regular updates and maintenance

Quick Start

TopRank Skills install K-Dense-AI/scvi-tools

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Skill Details

GitHub Stars 8.6k
GitHub Forks 1k
Created Jan 2026
Last Updated 4 months ago
tools tools data analysis

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