Abstract
Spatially resolved omics technologies provide molecular profiling of cells while preserving their organization within tissues, allowing for the evaluation of cell-type spatial relationships. We developed CRAWDAD to quantify cell-type spatial relationships across length scales. We highlight the utility of such multi-scale characterization on simulated data, recapitulate expected cell-type spatial relationships in tissues such as the mouse brain and embryo, and delineate functionally relevant spatial-defined cell-type subsets in the human spleen.
Competing Interest Statement
The authors have declared no competing interest.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Posted October 06, 2023.
Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
