Computational approaches for spatial studies

Spatial techniques have continued to rise in popularity in recent years; but what computational approaches are available for spatial studies? The spatial context of cells and tissues is vital to understanding their biology. The development of spatial omic technologies has enabled us to map the spatial architecture of cells and understand how they interact with their surroundings. There are many computational approaches that can be used in spatial studies, and this article, by no means an exhaustive list, details a few. cell2location – a tool for combining single-cell and spatial transcriptomics data Single-cell RNA sequencing (scRNA-seq) methods can provide gene...