The importance of clonal heterogeniety and interexperiment variability in modeling the eukaryotic cell cycle

Thomas Kuczek, David E. Axelrod

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)87-96
Number of pages10
JournalMathematical Biosciences
Volume79
Issue number1
DOIs
StatePublished - May 1986

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

Fingerprint

Dive into the research topics of 'The importance of clonal heterogeniety and interexperiment variability in modeling the eukaryotic cell cycle'. Together they form a unique fingerprint.

Cite this