A Novel Statistical Analysis and Interpretation of Flow Cytometry Data
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 behaviour for a population of cells labeled with the dye carboxyfluorescein succinimidyl ester and stimulated to divide.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 05, 2013
- Accession Number
- AD1016785
Entities
People
- Andreas Meyerhans
- Cristina Peligero
- D. F. Kapraun
- H. Thomas Banks
- Jordi Argilaguet
- W. C. Thompson
Organizations
- North Carolina State University