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

With the recent transformative developments in single-cell genomics and, in particular,
single-cell gene expression analysis, it is now possible to study tissues at the single-cell …

Spatial transcriptomics extends single-cell RNA sequencing (scRNA-seq) by providing
spatial context for cell type identification and analysis. Imaging-based spatial technologies …

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

Spatial transcriptomics (ST) technologies detect mRNA expression in single cells/spots
while preserving their two-dimensional (2D) spatial coordinates, allowing researchers to …

Single-cell RNA sequencing (scRNA-seq) enables dissecting cellular heterogeneity in
tissues, resulting in numerous biological discoveries. Various computational methods have …

The recent advances in spatial transcriptomics have brought unprecedented opportunities to
understand the cellular heterogeneity in the spatial context. However, the current limitations …

With the emergence of spatial transcriptome sequencing (ST-seq), research now heavily
relies on the joint analysis of ST-seq and single-cell RNA sequencing (scRNA-seq) data to …

Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however,
crucial spatial information is often lost. We present SpaOTsc, a method relying on structured …

Recently developed spatial gene expression technologies such as the Spatial
Transcriptomics and Visium platforms allow for comprehensive measurement of …