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Statistical Mixture Modeling for Cell Subtype Identification in Flow Cytometry
BACKGROUND: Statistical mixture modeling provides an opportunity for automated identification and resolution of cell subtypes in flow cytometric data. The configuration of cells as represented by multiple markers simultaneously can be modeled arbitrarily well as a mixture of Gaussian distributions i...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2840702/ https://ncbi.nlm.nih.gov/pubmed/18496851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.20583 |
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