The function of many biological systems, such as embryos, liver lobules, intestinal villi, and
tumors, depends on the spatial organization of their cells. In the past decade, high …

Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …

Spatial transcriptomics technologies are used to profile transcriptomes while preserving
spatial information, which enables high-resolution characterization of transcriptional patterns …

Spatial transcriptomics (ST) technologies enable high throughput gene expression
characterization within thin tissue sections. However, comparing spatial observations across …

Motivation The rapid development of spatial transcriptomics (ST) approaches has provided
new insights into understanding tissue architecture and function. However, the gene …

Transcriptome level expression data connected to the spatial organization of the cells and
molecules would allow a comprehensive understanding of how gene expression is …

As spatially resolved multiplex profiling of RNA and proteins becomes more prominent, it is
increasingly important to understand the statistical power available to test specific …

Spatial variation in cellular phenotypes underlies heterogeneity in immune recognition and
response to therapy in cancer and many other diseases. Spatial transcriptomics holds the …

In recent years, spatial transcriptomics (ST) technologies have developed rapidly and have
been widely used in constructing spatial tissue atlases and characterizing spatiotemporal …

Spatial transcriptomics (ST) technologies have advanced to enable transcriptome-wide
gene expression analysis at submicron resolution over large areas. However, analysis of …