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Model-based cell clustering and population tracking for time-series flow cytometry data
BACKGROUND: Modern flow cytometry technology has enabled the simultaneous analysis of multiple cell markers at the single-cell level, and it is widely used in a broad field of research. The detection of cell populations in flow cytometry data has long been dependent on “manual gating” by visual insp...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6933651/ https://ncbi.nlm.nih.gov/pubmed/31881827 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3294-3 |
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