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flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification
Summary: flowDensity facilitates reproducible, high-throughput analysis of flow cytometry data by automating a predefined manual gating approach. The algorithm is based on a sequential bivariate gating approach that generates a set of predefined cell populations. It chooses the best cut-off for indi...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4325545/ https://ncbi.nlm.nih.gov/pubmed/25378466 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu677 |
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