bio-spatial-transcriptomics-spatial-multiomics

What problem does it solve?

Analyze high-resolution spatial platforms like Visium HD, Slide-seq, and Stereo-seq to enable subcellular resolution analyses and spatial multi-omics integration.

Core Features & Use Cases

• End-to-end spatial analysis for high-density datasets, including binning, cell segmentation, and multi-modal integration with histology.
• Spatial statistics and visualization using Squidpy and SpatialData to identify spatially variable genes and neighborhood relationships.
• Use Case: Researchers map molecular signals to subcellular domains and relate expression patterns to tissue architecture.

Quick Start

Load a high-resolution spatial dataset and run an end-to-end analysis with spatial neighbors, Moran's I, and Leiden clustering.