title: Modeling clonal expansion from M-FISH experiments.
abstract: A population genetic model is used to describe dynamical aspects of chromosomal abberations observed in M-FISH experiments. Linear differential equations model the evolution of relative frequencies of mutations. The unknown parameters involved are estimated by maximum likelihood methods. We propose a scoring system to select the most important mutations. In order to reduce the number of parameters and computation time, only the highest ranked mutations are considered. First applications to M-FISH data show rather promising results.
authors.affiliation: Centre for Mathematical Sciences, Technical University Munich, Garching/Munich, Germany.
authors.forename: Thomas
authors.initials: T
authors.lastname: Stolte
authors.forename: Volker
authors.initials: V
authors.lastname: Hösel
authors.forename: Johannes
authors.initials: J
authors.lastname: Müller
authors.forename: Michael
authors.initials: M
authors.lastname: Speicher
mesh_terms: D002869:Chromosome Aberrations; D005828:Genetics, Population; D017404:In Situ Hybridization, Fluorescence; D016013:Likelihood Functions; D008433:Mathematics; D008957:Models, Genetic; D009154:Mutation