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Testing for differential abundance in mass cytometry data

When comparing biological conditions using mass cytometry data, one key challenge is to identify cellular populations that change in abundance. Here, we present a novel computational strategy for detecting these “differentially abundant” populations, by assigning cells to hyperspheres, testing for s...

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Detalles Bibliográficos
Autores principales: Lun, Aaron T. L., Richard, Arianne C., Marioni, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155493/
https://www.ncbi.nlm.nih.gov/pubmed/28504682
http://dx.doi.org/10.1038/nmeth.4295