Model-based cell clustering and population tracking for time-series flow cytometry data

Model-based cell clustering and population tracking for time-series flow cytometry data

Abstract 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 vis...

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Bibliographic Details
Main Authors: Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Flow cytometry
Time-series
Topic model
Baysian inference
Online Access:https://doi.org/10.1186/s12859-019-3294-3

Internet

https://doi.org/10.1186/s12859-019-3294-3

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