Scvi

关于

Scvi provides a Model Context Protocol (MCP) server designed for the advanced analysis of single-cell omics data. It seamlessly integrates deep generative modeling capabilities from scvi-tools, enabling tasks such as latent representation extraction, batch effect correction, and differential expression analysis for scRNA-seq. Researchers can also perform semi-supervised cell type annotation using SCANVI, integrate multi-modal RNA and protein data with TOTALVI, and analyze scATAC-seq data with PEAKVI, all through an intuitive natural language interface.

主要功能

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• scATAC-seq analysis (PEAKVI)
• Natural language interaction for complex workflows
• Deep generative modeling for scRNA-seq
• Joint RNA and protein (CITE-seq) analysis (TOTALVI)
• Semi-supervised cell type annotation (SCANVI)

使用案例

• Performing deep generative modeling and differential expression on scRNA-seq data.
• Annotating cell types in single-cell data using semi-supervised learning.
• Integrating and analyzing multi-modal single-cell RNA and protein (CITE-seq) data.