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Accession Number:
AD1003131
Title:
A Novel Statistical Analysis and Interpretation of Flow Cytometry Data
Corporate Author:
North Carolina State University Raleigh United States
Report Date:
2013-03-31
Abstract:
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 behavior for a population of cells labeled with the dye CFSE and stimulated to divide.
Descriptive Note:
Journal Article
Supplementary Note:
Journal of Biological Dynamics, 7, 1, 01 Jan 0001, 01 Jan 0001,
Pages:
0039
Distribution Statement:
Approved For Public Release;
File Size:
0.75MB
