Many models of the eukaryotic cell cycle find their motivation and/or justification in the analysis of observed interdivision time. In the presence of clonal heterogeneity, however, certain measures such as correlations are skewed in the positive direction. We show how biases arise from pooling heterogeneous data and, with our own data, show how to test for it and correct for its effects in parameter estimates. We discuss what implications this has for models of the eukaryotic cell cycle.
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Modeling and Simulation
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Agricultural and Biological Sciences(all)
- Applied Mathematics