seurat-v5

What problem does it solve?

Enables researchers to unify multi-modal single-cell data (RNA and proteins) within a single analytical framework, simplifying cross-modality interpretation and downstream analyses.

Core Features & Use Cases

• Multi-modal integration using Weighted Nearest Neighbors (WNN) to combine RNA and ADT data for a coherent cellular landscape.
• Workflow support for loading CITE-seq or multi-omics datasets, performing clustering, and visualizing integrated embeddings (UMAP).
• Use case: build and annotate cell-type maps from combined RNA and surface protein signals for robust downstream inference.

Quick Start

Install Seurat v5, create a Seurat object with RNA and ADT data, and perform initial multi-modal integration with FindMultiModalNeighbors and clustering.