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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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Podrobná bibliografie
Vydáno v:Commun Biol
Hlavní autoři: Rebhahn, Jonathan A., Quataert, Sally A., Sharma, Gaurav, Mosmann, Tim R.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2020
Témata:
On-line přístup: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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