Spatial omics technologies generate wealthy but highly complex datasets. Here we present
Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources …

Spatial omics data are advancing the study of tissue organization and cellular
communication at an unprecedented scale. Flexible tools are required to store, integrate and …

Spatial omics has emerged as a rapidly growing and fruitful field with hundreds of
publications presenting novel methods for obtaining spatially resolved information for any …

Spatial omics is a rapidly evolving approach for exploring tissue microenvironment and
cellular networks by integrating spatial knowledge with transcript or protein expression …

Advances in spatial omics technologies have improved the understanding of cellular
organization in tissues, leading to the generation of complex and heterogeneous data and …

Spatial omics technologies enable a deeper understanding of cellular organizations and
interactions within a tissue of interest. These assays can identify specific compartments or …

Spatially resolved omics technologies are transforming our understanding of biological
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …

As spatially resolved multiplex profiling of RNA and proteins becomes more prominent, it is
increasingly important to understand the statistical power available to test specific …

Background Spatially-resolved transcriptomics has now enabled the quantification of high-
throughput and transcriptome-wide gene expression in intact tissue while also retaining the …

The rapidly developing spatial omics generated datasets with diverse scales and modalities.
However, most existing methods focus on modeling dynamics of single cells while ignore …