FunSpace: A functional and spatial analytic approach to cell imaging data using entropy measures.

ABSTRACT: Spatial heterogeneity in the tumor microenvironment (TME) plays a critical role in gaining insights into tumor development and progression. Conventional metrics typically capture the spatial differential between TME cellular patterns by either exploring the cell distributions in a pairwise fashion or aggregating the heterogeneity across multiple cell distributions without considering the spatial contribution. As such, none of the existing approaches has fully accounted for the simultaneous heterogeneity caused by both cellular diversity and spatial configurations of multiple cell categories. In this article, we propose an approach to leverage spatial entropy measures at multiple distance ranges to account for the spatial heterogeneity across different cellular organizations. Functional pri

SUBMITTER: Vu T 

PROVIDER: S-EPMC10561868 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature