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

Motivation Spatially resolved gene expression profiles are the key to exploring the cell type
spatial distributions and understanding the architecture of tissues. Many spatially resolved …

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

Spatial transcriptomics (ST) technologies allow the profiling of the transcriptome of cells
while keeping their spatial context. Since most commercial untargeted ST technologies do …

Motivation Unveiling the heterogeneity in the tissues is crucial to explore cell–cell
interactions and cellular targets of human diseases. Spatial transcriptomics (ST) supplies …

Recent development of spatial transcriptomic technologies has made it possible to
characterize cellular heterogeneity with spatial information. However, the technology often …

Spatial transcriptomics (ST) technologies allow researchers to examine transcriptional
profiles along with maintained positional information. Such spatially resolved transcriptional …

Spatially resolved transcriptomics (SRT) has advanced our understanding of the spatial
patterns of gene expression, but the lack of single-cell resolution in spatial barcoding-based …

Many spatially resolved transcriptomic technologies do not have single-cell resolution but
measure the average gene expression for each spot from a mixture of cells of potentially …

Spatial transcriptomics approaches have substantially advanced our capacity to detect the
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …