Interpretable spatial cell learning enhances the characterization of patient tissue microenvironments with highly multiplexed imaging data

Multiplexed imaging technologies enable highly resolved spatial characterization of cellular environments. However, exploiting these rich spatial cell datasets for biological insight is a considerable analytical challenge. In particular, effective approaches to define disease-specific microenvironme...

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Detalles Bibliográficos
Autores principales: Lu, Peng, Oetjen, Karolyn A., Oh, Stephen T., Thorek, Daniel L.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081219/
https://www.ncbi.nlm.nih.gov/pubmed/37034738
http://dx.doi.org/10.1101/2023.03.26.534306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081219/
https://www.ncbi.nlm.nih.gov/pubmed/37034738
http://dx.doi.org/10.1101/2023.03.26.534306

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