ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamics.

ABSTRACT: Functional cell-to-cell variability is ubiquitous in multicellular organisms as well as bacterial populations. Even genetically identical cells of the same cell type can respond differently to identical stimuli. Methods have been developed to analyse heterogeneous populations, e.g., mixture models and stochastic population models. The available methods are, however, either incapable of simultaneously analysing different experimental conditions or are computationally demanding and difficult to apply. Furthermore, they do not account for biological information available in the literature. To overcome disadvantages of existing methods, we combine mixture models and ordinary differential equation (ODE) models. The ODE models provide a mechanistic description of the underlying processes while m

SUBMITTER: Hasenauer J 

PROVIDER: S-EPMC4081021 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature