CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathology

We present CellSpatialGraph, an integrated clustering and graph-based framework, to investigate the cellular spatial structure. Due to the lack of a clear understanding of the cell subtypes in the tumor microenvironment, unsupervised learning is applied to uncover cell phenotypes. Then, we build loc...

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Detalles Bibliográficos
Autores principales: Chen, Pingjun, Aminu, Muhammad, Hussein, Siba El, Khoury, Joseph D., Wu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534201/
https://www.ncbi.nlm.nih.gov/pubmed/36203948
http://dx.doi.org/10.1016/j.simpa.2021.100156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534201/
https://www.ncbi.nlm.nih.gov/pubmed/36203948
http://dx.doi.org/10.1016/j.simpa.2021.100156

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