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flowLearn: fast and precise identification and quality checking of cell populations in flow cytometry
MOTIVATION: Identification of cell populations in flow cytometry is a critical part of the analysis and lays the groundwork for many applications and research discovery. The current paradigm of manual analysis is time consuming and subjective. A common goal of users is to replace manual analysis wit...
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| Gepubliceerd in: | Bioinformatics |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6022609/ https://ncbi.nlm.nih.gov/pubmed/29462241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty082 |
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