Spatial Transcriptomics is an emerging technology that adds spatial dimensionality and
tissue morphology to the genome-wide transcriptional profile of cells in an undissociated …

Spatial transcriptomic technologies promise to resolve cellular wiring diagrams of tissues in
health and disease, but comprehensive mapping of cell types in situ remains a challenge …

Multi-modal single cell RNA assays capture RNA content as well as other data modalities,
such as spatial cell position or the electrophysiological properties of cells. Compared to …

Motivation Recent years have seen the release of several toolsets that reveal cell–cell
interactions from single-cell data. However, all existing approaches leverage mean celltype …

Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the
genomic, transcriptomic and epigenomic landscapes of cells within organs. The mammalian …

Spatially resolved transcriptomics methodologies using RNA sequencing principles have
and will continue to contribute to decode the molecular landscape of tissues. Linking …

Background Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform
to study heterogeneity at the single-cell level. Computational methods to process scRNA …

Changes in cell identities and positions underlie tissue development and disease
progression. Although single-cell mRNA sequencing (scRNA-Seq) methods rapidly …

Complex biological systems are composed of multiple cell types whose transcriptional
activity can vary due to differences in cell state, environmental stimulation, or intrinsic …

Single-cell RNA-sequencing (scRNA-seq) technologies have revolutionized modern
biomedical sciences. A fundamental challenge is to incorporate spatial information to study …