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High Throughput Flow Cytometry Data Normalization for Clinical Trials

BACKGROUND: Flow cytometry data sets from clinical trials generate very large data sets and are usually highly standardized, focusing on endpoints that are well-defined a-priori. Staining variability of individual makers is not uncommon and complicates manual gating, requiring the analyst to adapt g...

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Detalles Bibliográficos
Main Authors: Finak, Greg, Jiang, Wenxin, Krouse, Kevin, Wei, Chungwen, Sanz, Ignacio, Phippard, Deborah, Asare, Adam, De Rosa, Stephen C, Self, Steve, Gottardo, Raphael
Formato: Artigo
Idioma:Inglês
Publicado: 2013
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3992339/
https://ncbi.nlm.nih.gov/pubmed/24382714
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.22433
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