Characterizing cell-type spatial relationships across length scales in spatially resolved omics data.

ABSTRACT: Spatially resolved omics (SRO) technologies enable the identification of cell types while preserving their organization within tissues. Application of such technologies offers the opportunity to delineate cell-type spatial relationships, particularly across different length scales, and enhance our understanding of tissue organization and function. To quantify such multi-scale cell-type spatial relationships, we developed CRAWDAD, Cell-type Relationship Analysis Workflow Done Across Distances, as an open-source R package with source code and additional documentation at https://jef.works/CRAWDAD/. To demonstrate the utility of such multi-scale characterization, recapitulate expected cell-type spatial relationships, and evaluate against other cell-type spatial analyses, we applied CRAWDAD to

SUBMITTER: Dos Santos Peixoto R 

PROVIDER: S-EPMC11418938 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature