Exploratory spatial data analysis (ESDA) can be a powerful approach to understanding
single-cell genomics datasets, but it is not yet part of standard data analysis workflows. In …

Motivation Spatial transcriptomics (ST) experiments provide spatially localized
measurements of genome-wide gene expression allowing for an unprecedented opportunity …

As single-cell omics continue to advance, the field of spatially resolved transcriptomics has
emerged with a set of experimental and computational methods to map out the positions of …

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 …

Background: The development of single-cell technologies yields large datasets of
information as diverse and multimodal as transcriptomes, immunophenotypes, and spatial …

Spatially resolved transcriptomics offers unprecedented insight by enabling the profiling of
gene expression within the intact spatial context of cells, effectively adding a new and …

Motivation Spatial transcriptomics allow to quantify mRNA expression within the spatial
context. Nonetheless, in-depth analysis of spatial transcriptomics data remains challenging …

Recent technological advances have enabled spatially resolved measurements of
expression profiles for hundreds to thousands of genes in fixed tissues at single-cell …

Motivation Spatial transcriptomics has greatly contributed to our understanding of spatial
and intra-sample heterogeneity, which could be crucial for deciphering the molecular basis …

Recent technological development in spatial transcriptomics allows researchers to measure
gene expression of cells and their spatial locations at the almost single-cell level, which …