Sequential Dirichlet process mixtures of multivariate skew t-distributions for model-based clustering of flow cytometry data

Flow cytometry is a high-throughput technology used to quantify multiple surface and intracellular markers at the level of a single cell. This enables us to identify cell subtypes and to determine their relative proportions. Improvements of this technology allow us to describe millions of individual...

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Bibliografiske detaljer
Main Authors: Hejblum, B, Alkhassim, C, Gottardo, R, Caron, F, Thiebaut, R
Format: Journal article
Udgivet: Institute of Mathematical Statistics 2019