scvi-tools

SKILL.md

scvi-tools is a comprehensive Python framework for probabilistic models in single-cell genomics. Built on PyTorch and PyTorch Lightning, it provides deep generative models using variational inference for analyzing diverse single-cell data modalities.

Single-Cell RNA-seq Analysis Core models for expression analysis, batch correction, and integration. See references/models-scrna-seq.md for:

Chromatin Accessibility (ATAC-seq) Models for analyzing single-cell chromatin data. See references/models-atac-seq.md for:

當使用 scvi 工具（包括 scRNA-seq、scATAC-seq、CITE-seq、空間轉錄組學和其他單細胞模式）進行單細胞組學數據分析時，應使用此技能。使用此技能進行概率建模、批量校正、降維、差異表達、細胞類型註釋、多模態集成和空間分析任務。 來源：ovachiever/droid-tings。

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