Benchmarking cell-type clustering methods for spatially resolved transcriptomics data

Spatially resolved transcriptomics technologies enable the measurement of transcriptome information while retaining the spatial context at the regional, cellular or sub-cellular level. While previous computational methods have relied on gene expression information alone for clustering single-cell po...

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Detalles Bibliográficos
Autores principales: Cheng, Andrew, Hu, Guanyu, Li, Wei Vivian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851325/
https://www.ncbi.nlm.nih.gov/pubmed/36410733
http://dx.doi.org/10.1093/bib/bbac475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851325/
https://www.ncbi.nlm.nih.gov/pubmed/36410733
http://dx.doi.org/10.1093/bib/bbac475

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