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 present CRAWDAD, Cell-type Relationship Analysis Workflow Done Across Distances, as an open-source R package. To demonstrate the utility of such multi-scale characterization, recapitulate expected cell-type spatial relationships, and evaluate against other cell-type spatial analyses, we apply CRAWDAD to various simulated and real SRO datasets of diverse tissues assayed by diverse SR

SUBMITTER: Dos Santos Peixoto R 

PROVIDER: S-EPMC11699133 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature