CRAWDAD
enables the characterization of cell-type
relationships across different scales.
CRAWDAD
is a statistical framework that uses cell-type
labeled spatial omics data to identify the colocalization or separation
of cell types at different length scales. CRAWDAD identifies the spatial
relationship of cell types in the tissue and the length scale in which
they reach significance. It identifies groups of cells with similar
spatial relationships patterns. Also, CRAWDAD subsets the cell types
based on their proximity to others. Lastly, CRAWDAD compares multiple
tissue samples using their cell-type spatial relationship patterns.
Therefore, CRAWDAD is a powerful tool for tissue characterization and
comparison.