A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data

DOI10.1016/J.AML.2013.03.003zbMath1308.92082DBLPjournals/appml/Flores13OpenAlexW2074589167WikidataQ30651233 ScholiaQ30651233MaRDI QIDQ2339036

Kevin B. Flores

Publication date: 30 March 2015

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2013.03.003

zbMATH Keywords

gene regulatory networkssynthetic biologystructured population modelsdistributed parametersgene expression noise

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Population dynamics (general) (92D25) Genetics and epigenetics (92D10)

Related Items (2)

On analytical and numerical approaches to division and label structured population models ⋮ A second-order method for the numerical integration of a size-structured cell population model

Cites Work

• Unnamed Item
• Label structured cell proliferation models
• A division-dependent compartmental model for computing cell numbers in CFSE-based lymphocyte proliferation assays
• Estimation of cell proliferation dynamics using CFSE data
• Using Gene Expression Noise to Understand Gene Regulation

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