Estimating the variation in S phase duration from flow cytometric histograms

DOI10.1016/j.mbs.2008.01.009zbMath1136.62390OpenAlexW2030263511WikidataQ39988869 ScholiaQ39988869MaRDI QIDQ927135

Ulla Holst, Maria Johansson, Stina Oredsson, Sara Larsson, Tobias Rydén

Publication date: 22 May 2008

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2008.01.009

zbMATH Keywords

branching processflow cytometrycell cycle progression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of branching processes (60J85) Biochemistry, molecular biology (92C40)

Related Items (3)

A mathematical model of cell cycle progression applied to the MCF-7 breast cancer cell line ⋮ Estimating the distribution of the \(G_{2}\) phase duration from flow cytometric histograms ⋮ A branching process model for flow cytometry and budding index measurements in cell synchrony experiments

Cites Work

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• Kinetic heterogeneity of an experimental tumour revealed by BrdUrd incorporation and mathematical modelling
• A history of the study of solid tumour growth: the contribution of mathematical modelling
• Estimating the total rate of DNA replication using branching processes
• A model with `growth retardation' for the kinetic heterogeneity of tumour cell populations
• Estimating the distribution of the \(G_{2}\) phase duration from flow cytometric histograms
• Branching Processes
• Branching processes in biology

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