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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| 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 |