Single-cell RNA-seq technologies are rapidly evolving but while very informative, in
standard scRNAseq experiments the spatial organization of the cells in the tissue of origin is …

Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …

Understanding how sets of genes are coordinately regulated in space and time to generate
the diversity of cell types that characterise complex metazoans is a major challenge in …

Motivation Predicting cell locations is important since with the understanding of cell
locations, we may estimate the function of cells and their integration with the spatial …

Single-cell RNA sequencing (scRNAseq) experiments provide a powerful means to identify
clusters of cells that share common gene expression signatures. A major challenge in …

Single-cell transcriptomics data, when combined with in situ hybridization patterns of specific
genes, can help in recovering the spatial information lost during cell isolation. Dialogue for …

Motivation Single-cell RNA sequencing (scRNA-seq) technologies allow us to interrogate
the state of an individual cell within its microenvironment. However, prior to sequencing …

Spatial transcriptomics (ST) has become a powerful technique that advances the study of
cell spatial organization and cell-cell interactions. While ST can preserve location …

Decoding spatial transcriptomes from single-cell RNA sequencing (scRNA-seq) data has
become a fundamental technique for understanding multicellular systems; however, existing …

Drosophila has long been a successful model organism in multiple fields such as genetics
and developmental biology. Drosophila genome is relatively smaller and less redundant, yet …