Deciphering the principles and mechanisms by which gene activity orchestrates complex
cellular arrangements in multicellular organisms has far-reaching implications for research …

Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

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

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 …

The combination of spatial transcriptomics (ST) and single cell RNA sequencing (scRNA-
seq) acts as a pivotal component to bridge the pathological phenomes of human tissues with …

The inference of cell–cell communication (CCC) is crucial for a better understanding of
complex cellular dynamics and regulatory mechanisms in biological systems. However …

Spatial transcriptomics is a rapidly growing field that promises to comprehensively
characterize tissue organization and architecture at the single-cell or subcellular resolution …

Optimal integration of transcriptomics data and associated spatial information is essential
towards fully exploiting spatial transcriptomics to dissect tissue heterogeneity and map out …

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

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