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SwiftReg cluster registration automatically reduces flow cytometry data variability including batch effects
Biological differences of interest in large, high-dimensional flow cytometry datasets are often obscured by undesired variations caused by differences in cytometers, reagents, or operators. Each variation type requires a different correction strategy, and their unknown contributions to overall varia...
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| Publicado no: | Commun Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7205614/ https://ncbi.nlm.nih.gov/pubmed/32382076 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-020-0938-9 |
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