Merging Mixture Components for Cell Population Identification in Flow Cytometry

We present a framework for the identification of cell subpopulations in flow cytometry data based on merging mixture components using the flowClust methodology. We show that the cluster merging algorithm under our framework improves model fit and provides a better estimate of the number of distinct...

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Detalles Bibliográficos
Autores principales: Finak, Greg, Bashashati, Ali, Brinkman, Ryan, Gottardo, Raphaël
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798116/
https://www.ncbi.nlm.nih.gov/pubmed/20049161
http://dx.doi.org/10.1155/2009/247646

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798116/
https://www.ncbi.nlm.nih.gov/pubmed/20049161
http://dx.doi.org/10.1155/2009/247646

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