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

The Spatial Analysis Lab (the SAL) is a mapping lab dedicated to thoughtful and creative spatial data collection, analysis, and visualization. We strive to promote spatial literacy and spatial justice ...

A new study by Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) researchers investigates how data from a machine learning-enabled high-throughput phenotyping method can (1) aid in ...

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.

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

Researchers at the Icahn School of Medicine at Mount Sinai in New York, Boston Medical Center, and Boston University School of Medicine have developed software to help scientists more easily analyze ...