single-cell-vector-search

What problem does it solve?

This skill enables researchers to identify biologically similar cell states across large-scale scRNA-seq atlases by embedding-based similarity, enabling cross-study comparisons and phenotype interpretation.

Core Features & Use Cases

• SCimilarity-based centroid and nearest-neighbor searches for human 10x data
• Census-based cross-species queries and API-driven analyses
• End-to-end workflow from embedding to neighbor-based predictions and downstream analyses
• Guidance on when to use SCimilarity vs Census for robust decision making

Quick Start

Provide a preprocessed AnnData object and run the vector-search workflow to retrieve similar cell states across SCimilarity and Census.