Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data

Mapping cell types across a tissue is a central concern of spatial biology, but cell type abundance is difficult to extract from spatial gene expression data. We introduce SpatialDecon, an algorithm for quantifying cell populations defined by single cell sequencing within the regions of spatial gene...

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Detalles Bibliográficos
Autores principales: Danaher, Patrick, Kim, Youngmi, Nelson, Brenn, Griswold, Maddy, Yang, Zhi, Piazza, Erin, Beechem, Joseph M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770643/
https://www.ncbi.nlm.nih.gov/pubmed/35046414
http://dx.doi.org/10.1038/s41467-022-28020-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770643/
https://www.ncbi.nlm.nih.gov/pubmed/35046414
http://dx.doi.org/10.1038/s41467-022-28020-5

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