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

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 presen...

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Principais autores:	Nathaniel Osher, Jian Kang, Santhoshi Krishnan, Arvind Rao, Veerabhadran Baladandayuthapani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-05-01
coleção:	Frontiers in Genetics
Assuntos:	Bayesian modeling digital pathology hierarchical strauss models spatial point processes tumor-immune microenvironments
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fgene.2023.1175603/full
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