Optimizing transformations for automated, high throughput analysis of flow cytometry data

BACKGROUND: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessment, outlier removal, normalization, and gating have received considerable scrutiny from the community, the influence of da...

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Detalles Bibliográficos
Autores principales: Finak, Greg, Perez, Juan-Manuel, Weng, Andrew, Gottardo, Raphael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3243046/
https://www.ncbi.nlm.nih.gov/pubmed/21050468
http://dx.doi.org/10.1186/1471-2105-11-546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3243046/
https://www.ncbi.nlm.nih.gov/pubmed/21050468
http://dx.doi.org/10.1186/1471-2105-11-546

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