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

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

Spatial transcriptomics (ST) technologies are rapidly becoming the extension of single-cell
RNA sequencing (scRNAseq), holding the potential of profiling gene expression at a single …

Spatial transcriptomics (ST) technologies are rapidly becoming the extension of single-cell
RNA sequencing (scRNAseq), holding the potential of profiling gene expression at a single …

Integrative analysis of single-cell RNA-sequencing (scRNA-seq) data with spatial data for
the same species and organ would provide each cell sample with a predictive spatial …

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

Motivation The rapid development of spatial transcriptome technologies has enabled
researchers to acquire single-cell-level spatial data at an affordable price. However …

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 …

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

Single-cell RNA sequencing (scRNA-seq) has greatly advanced our understanding of
cellular heterogeneity by profiling individual cell transcriptomes. However, cell dissociation …