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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Detalles Bibliográficos
Autores principales: Minoura, Kodai, Abe, Ko, Maeda, Yuka, Nishikawa, Hiroyoshi, Shimamura, Teppei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933651/
https://www.ncbi.nlm.nih.gov/pubmed/31881827
http://dx.doi.org/10.1186/s12859-019-3294-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933651/
https://www.ncbi.nlm.nih.gov/pubmed/31881827
http://dx.doi.org/10.1186/s12859-019-3294-3

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