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A non-parametric Bayesian model for joint cell clustering and cluster matching: identification of anomalous sample phenotypes with random effects
BACKGROUND: Flow cytometry (FC)-based computer-aided diagnostics is an emerging technique utilizing modern multiparametric cytometry systems. The major difficulty in using machine-learning approaches for classification of FC data arises from limited access to a wide variety of anomalous samples for...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262223/ https://www.ncbi.nlm.nih.gov/pubmed/25248977 http://dx.doi.org/10.1186/1471-2105-15-314 |