SPARTIN: a Bayesian method for the quantification and characterization of cell type interactions in spatial pathology data.

ABSTRACT: Introduction: The acquisition of high-resolution digital pathology imaging data has sparked the development of methods to extract context-specific features from such complex data. In the context of cancer, this has led to increased exploration of the tumor microenvironment with respect to the presence and spatial composition of immune cells. Spatial statistical modeling of the immune microenvironment may yield insights into the role played by the immune system in the natural development of cancer as well as downstream therapeutic interventions. Methods: In this paper, we present SPatial Analysis of paRtitioned Tumor-Immune imagiNg (SPARTIN), a Bayesian method for the spatial quantification of immune cell infiltration from pathology images. SPARTIN uses Bayesian point processe

SUBMITTER: Osher N 

PROVIDER: S-EPMC10232864 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature