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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Format: | Journal article |
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Institute of Mathematical Statistics
2019
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