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A novel statistical analysis and interpretation of flow cytometry data
A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. Th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3753657/ https://www.ncbi.nlm.nih.gov/pubmed/23826744 http://dx.doi.org/10.1080/17513758.2013.812753 |
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author | Banks, H.T. Kapraun, D.F. Thompson, W. Clayton Peligero, Cristina Argilaguet, Jordi Meyerhans, Andreas |
author_facet | Banks, H.T. Kapraun, D.F. Thompson, W. Clayton Peligero, Cristina Argilaguet, Jordi Meyerhans, Andreas |
author_sort | Banks, H.T. |
collection | PubMed |
description | A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. This scheme is then applied to experimental data for PHA-stimulated CD4+ T and CD8+ T cells collected from two healthy donors. This novel mathematical and statistical framework is shown to form the basis for accurate, meaningful analysis of cellular behaviour for a population of cells labelled with the dye carboxyfluorescein succinimidyl ester and stimulated to divide. |
format | Online Article Text |
id | pubmed-3753657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-37536572013-08-28 A novel statistical analysis and interpretation of flow cytometry data Banks, H.T. Kapraun, D.F. Thompson, W. Clayton Peligero, Cristina Argilaguet, Jordi Meyerhans, Andreas J Biol Dyn Research Article A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. This scheme is then applied to experimental data for PHA-stimulated CD4+ T and CD8+ T cells collected from two healthy donors. This novel mathematical and statistical framework is shown to form the basis for accurate, meaningful analysis of cellular behaviour for a population of cells labelled with the dye carboxyfluorescein succinimidyl ester and stimulated to divide. Taylor & Francis 2013-07-05 2013-12 /pmc/articles/PMC3753657/ /pubmed/23826744 http://dx.doi.org/10.1080/17513758.2013.812753 Text en © 2013 The Author(s). Published by Taylor & Francis. http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Banks, H.T. Kapraun, D.F. Thompson, W. Clayton Peligero, Cristina Argilaguet, Jordi Meyerhans, Andreas A novel statistical analysis and interpretation of flow cytometry data |
title | A novel statistical analysis and interpretation of flow cytometry data |
title_full | A novel statistical analysis and interpretation of flow cytometry data |
title_fullStr | A novel statistical analysis and interpretation of flow cytometry data |
title_full_unstemmed | A novel statistical analysis and interpretation of flow cytometry data |
title_short | A novel statistical analysis and interpretation of flow cytometry data |
title_sort | novel statistical analysis and interpretation of flow cytometry data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3753657/ https://www.ncbi.nlm.nih.gov/pubmed/23826744 http://dx.doi.org/10.1080/17513758.2013.812753 |
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