A novel statistical analysis and interpretation of flow cytometry data

DOI10.1080/17513758.2013.812753zbMath1447.92115OpenAlexW2148035653WikidataQ30653430 ScholiaQ30653430MaRDI QIDQ3304528

Cristina Peligero, Dustin F. Kapraun, Andreas Meyerhans, Jordi Argilaguet, W. Clayton Thompson, Harvey Thomas Banks

Publication date: 3 August 2020

Published in: Journal of Biological Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17513758.2013.812753

zbMATH Keywords

parameter estimationimmunologyflow cytometrymathematical and statistical modelscellular modelscyton modelslabel dynamics

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Cell biology (92C37)

Related Items (3)

Use of difference-based methods to explore statistical and mathematical model discrepancy in inverse problems ⋮ Mathematical models for CFSE labelled lymphocyte dynamics: asymmetry and time-lag in division ⋮ Uncertainty quantification in modeling HIV viral mechanics

Uses Software

• nlmdl

Cites Work

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