Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, and …

Single-cell RNA sequencing (scRNA-seq) provides insights into gene expression
heterogeneities in diverse cell types underlying homeostasis, development and pathological …

Spatial transcriptomics technologies developed in recent years can provide various
information including tissue heterogeneity, which is fundamental in biological and medical …

The development of spatial transcriptome sequencing technology has revolutionized our
comprehension of complex tissues and propelled life and health sciences into an era of …

Single-cell technologies are emerging fast due to their ability to unravel the heterogeneity of
biological systems. While scRNA-seq is a powerful tool that measures whole-transcriptome …

Motivation In recent years we have witnessed an increase in novel RNA-seq based
techniques for transcriptomics analysis. Spatial transcriptomics is a novel RNA-seq based …

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 …

Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …

In recent years, the explosive growth of spatial technologies has enabled the
characterization of spatial heterogeneity of tissue architectures. Compared to traditional …

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