SWIFT—Scalable Clustering for Automated Identification of Rare Cell Populations in Large, High-Dimensional Flow Cytometry Datasets, Part 1: Algorithm Design

We present a model-based clustering method, SWIFT (Scalable Weighted Iterative Flow-clustering Technique), for digesting high-dimensional large-sized datasets obtained via modern flow cytometry into more compact representations that are well-suited for further automated or manual analysis. Key attri...

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Detalles Bibliográficos
Autores principales: Naim, Iftekhar, Datta, Suprakash, Rebhahn, Jonathan, Cavenaugh, James S, Mosmann, Tim R, Sharma, Gaurav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238829/
https://www.ncbi.nlm.nih.gov/pubmed/24677621
http://dx.doi.org/10.1002/cyto.a.22446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238829/
https://www.ncbi.nlm.nih.gov/pubmed/24677621
http://dx.doi.org/10.1002/cyto.a.22446

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