 is important for understanding the organization rules from single cells to tissues. SOAPy first constructs a cell/spot network from experimental obtained spatial locations; then implements two scenarios for deciphering spatial architecture: spatial proximity analysis (including neighborhood and infiltration) determines whether the distributions of two cell types or two kinds of cell states within an image are significant proximal.</p>
<p>We applied this analysis to a dataset of 41 triple-negative breast c