Spatial co-location pattern mining is a sub-discipline of spatial data analysis that seeks to identify subsets of spatial features which frequently occur in close proximity. It aims to uncover the ...
The challenges of connecting molecular changes to tissue structure and highlights the potential of multifractal frameworks to quantify complex biological patterns ...
Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...
In this piece, I highlight one particular talk that caught my interest — given by Elana Fertig, Dean E. Albert Reece Endowed ...
Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small cell lung cancer will benefit from immunotherapy.
The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...
Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small cell lung cancer will benefit from immunotherapy.