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...

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Detalles Bibliográficos
Autores principales: Dundar, Murat, Akova, Ferit, Yerebakan, Halid Z, Rajwa, Bartek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
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

Internet

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

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