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BMC bioinformatics DOI:10.1186/1471-2105-13-S5-S5

Parametric modeling of cellular state transitions as measured with flow cytometry.

Publication TypeJournal Article
Year of Publication2012
AuthorsHo, HJ, Lin, TI, Chang, HH, Haase, SB, Huang, S, Pyne, S
JournalBMC bioinformatics
Volume13 Suppl 5
Date Published2012/04/12

Gradual or sudden transitions among different states as exhibited by cell populations in a biological sample under particular conditions or stimuli can be detected and profiled by flow cytometric time course data. Often such temporal profiles contain features due to transient states that present unique modeling challenges. These could range from asymmetric non-Gaussian distributions to outliers and tail subpopulations, which need to be modeled with precision and rigor.