tooluniverse-spatial-transcriptomics

Comprehensive analysis of spatially-resolved transcriptomics data to understand gene expression patterns in tissue architecture context. Combines expression profiling with spatial coordinates to reveal tissue organization, cell-cell interactions, and spatially variable genes.

| Data Import | 10x Visium, MERFISH, seqFISH, Slide-seq, STARmap, Xenium formats | | Quality Control | Spot/cell QC, spatial alignment verification, tissue coverage | | Normalization | Spatial-aware normalization accounting for tissue heterogeneity | | Spatial Clustering | Identify spatial domains with similar expression profiles |

| Spatial Variable Genes | Find genes with non-random spatial patterns | | Neighborhood Analysis | Cell-cell proximity, spatial neighborhoods, niche identification | | Spatial Patterns | Gradients, boundaries, hotspots, expression waves | | Integration | Merge with scRNA-seq for cell type mapping |