Parameter inference for stochastic single-cell dynamics from lineage tree data.

Kuzmanovska, Irena; Milias-Argeitis, Andreas; Mikelson, Jan; Zechner, Christoph; Khammash, Mustafa

doi:10.1186/s12918-017-0425-1

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Parameter inference for stochastic single-cell dynamics from lineage tree data.

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Kuzmanovska, I., Milias-Argeitis, A., Mikelson, J., Zechner, C., & Khammash, M. (2017). Parameter inference for stochastic single-cell dynamics from lineage tree data. BMC systems biology, 11(1): 52. doi:10.1186/s12918-017-0425-1.

Cite as: https://hdl.handle.net/21.11116/0000-0002-8CFB-6

Abstract

With the advance of experimental techniques such as time-lapse fluorescence microscopy, the availability of single-cell trajectory data has vastly increased, and so has the demand for computational methods suitable for parameter inference with this type of data. Most of currently available methods treat single-cell trajectories independently, ignoring the mother-daughter relationships and the information provided by the population structure. However, this information is essential if a process of interest happens at cell division, or if it evolves slowly compared to the duration of the cell cycle.