Testing for differential abundance in mass cytometry data.
Nat Methods
; 14(7): 707-709, 2017 Jul.
Article
en En
| MEDLINE
| ID: mdl-28504682
ABSTRACT
When comparing biological conditions using mass cytometry data, a key challenge is to identify cellular populations that change in abundance. Here, we present a computational strategy for detecting 'differentially abundant' populations by assigning cells to hyperspheres, testing for significant differences between conditions and controlling the spatial false discovery rate. Our method (http//bioconductor.org/packages/cydar) outperforms other approaches in simulations and finds novel patterns of differential abundance in real data.
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1
Banco de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
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Programas Informáticos
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Citometría de Flujo
Idioma:
En
Año:
2017
Tipo del documento:
Article