System estimation from metabolic time-series data.

ABSTRACT:

Motivation

At the center of computational systems biology are mathematical models that capture the dynamics of biological systems and offer novel insights. The bottleneck in the construction of these models is presently the identification of model parameters that make the model consistent with observed data. Dynamic flux estimation (DFE) is a novel methodological framework for estimating parameters for models of metabolic systems from time-series data. DFE consists of two distinct phases, an entirely model-free and assumption-free data analysis and a model-based mathematical characterization of process representations. The model-free phase reveals inconsistencies within the data, and between data and the alleged system topology, while the model-based phase allows quantitative diagn

SUBMITTER: Goel G 

PROVIDER: S-EPMC2732280 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature