SpatialSort: a Bayesian model for clustering and cell population annotation of spatial proteomics data

MOTIVATION: Recent advances in spatial proteomics technologies have enabled the profiling of dozens of proteins in thousands of single cells in situ. This has created the opportunity to move beyond quantifying the composition of cell types in tissue, and instead probe the spatial relationships betwe...

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Detalles Bibliográficos
Autores principales: Lee, Eric, Chern, Kevin, Nissen, Michael, Wang, Xuehai, Huang, Chris, Gandhi, Anita K, Bouchard-Côté, Alexandre, Weng, Andrew P, Roth, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Biomedical Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311307/
https://www.ncbi.nlm.nih.gov/pubmed/37387130
http://dx.doi.org/10.1093/bioinformatics/btad242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311307/
https://www.ncbi.nlm.nih.gov/pubmed/37387130
http://dx.doi.org/10.1093/bioinformatics/btad242

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