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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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| Publicado no: | Cytometry A |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BlackWell Publishing Ltd
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4238829/ https://ncbi.nlm.nih.gov/pubmed/24677621 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.22446 |
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