Clustering-independent estimation of cell abundances in bulk tissues using single-cell RNA-seq data

Single-cell RNA-sequencing has transformed the study of biological tissues by enabling transcriptomic characterizations of their constituent cell states. Computational methods for gene expression deconvolution use this information to infer the cell composition of related tissues profiled at the bulk...

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Detalles Bibliográficos
Autores principales: Aubin, Rachael G., Montelongo, Javier, Hu, Robert, Camara, Pablo G.
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/PMC9934539/
https://www.ncbi.nlm.nih.gov/pubmed/36798206
http://dx.doi.org/10.1101/2023.02.06.527318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934539/
https://www.ncbi.nlm.nih.gov/pubmed/36798206
http://dx.doi.org/10.1101/2023.02.06.527318

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