NIPMAP: niche-phenotype mapping of multiplex histology data by community ecology.

ABSTRACT: Advances in multiplex histology allow surveying millions of cells, dozens of cell types, and up to thousands of phenotypes within the spatial context of tissue sections. This leads to a combinatorial challenge in (a) summarizing the cellular and phenotypic architecture of tissues and (b) identifying phenotypes with interesting spatial architecture. To address this, we combine ideas from community ecology and machine learning into niche-phenotype mapping (NIPMAP). NIPMAP takes advantage of geometric constraints on local cellular composition imposed by the niche structure of tissues in order to automatically segment tissue sections into niches and their interfaces. Projecting phenotypes on niches and their interfaces identifies previously-reported and previously-unreported spatially-driven p

SUBMITTER: El Marrahi A 

PROVIDER: S-EPMC10630431 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature