Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

Explore five powerful alternatives to Maptitude for spatial analysis. Discover tools that enhance your data visualization and ...

This course covers specialized methods and models that have been created for performing statistical analysis on spatial data. Students will learn basic statistical concepts and how to apply them to ...

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 ...

Discover how the computational analysis of high-plex imaging can enhance spatial resolution and reproducibility to advance biological insights. In this webinar, Hideki Furuya, Associate Professor at ...

Spatial transcriptomics (ST) technologies are applied in biology and medical research for its ability to detect the spatial distribution of transcriptome in histological tissue slices. By probing some ...