The interdisciplinary field of spatial biology continues to connect omics research with the goal of understanding the spatial distribution of biomolecules that influence biological processes and ...

Agricultural spatial analysis and modelling integrate geospatial technologies, crop simulation techniques and statistical methodologies to illuminate the complex interactions within agricultural ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

Geographically weighted regression (GWR) is a spatial statistical technique that extends conventional regression analysis by allowing relationships between variables to vary across space. Instead of ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.