The development of spatial transcriptomics (ST) technologies has transformed genetic
research from a single-cell data level to a two-dimensional spatial coordinate system and …

The idea that tumour microenvironment (TME) is organised in a spatial manner will not
surprise many cancer biologists; however, systematically capturing spatial architecture of …

Spatial clustering, which shares an analogy with single-cell clustering, has expanded the
scope of tissue physiology studies from cell-centroid to structure-centroid with spatially …

Recent advances in spatially resolved transcriptomics have enabled comprehensive
measurements of gene expression patterns while retaining the spatial context of the tissue …

One major challenge in analyzing spatial transcriptomic datasets is to simultaneously
incorporate the cell transcriptome similarity and their spatial locations. Here, we introduce …

The rapid development of spatial transcriptomics allows the measurement of RNA
abundance at a high spatial resolution, making it possible to simultaneously profile gene …

Spatially resolved transcriptomics (SRT) has enabled precise dissection of tumor-
microenvironment (TME) by analyzing its intracellular molecular networks and intercellular …

Advances in transcriptomic technologies have deepened our understanding of the cellular
gene expression programs of multicellular organisms and provided a theoretical basis for …

Alzheimer's Disease (AD) pathology has been increasingly explored through single-cell and
single-nucleus RNA-sequencing (scRNA-seq & snRNA-seq) and spatial transcriptomics …

Background Digitized histopathological tissue slides and genomics profiling data are
available for many patients with solid tumors. In the last 5 years, Deep Learning (DL) has …