Designing experiments from noisy metabolomics data to refine constraint-based models

Abstract

Metabolomics is an emerging technology to make high-throughput measurements of metabolites and is useful for the discovery of novel biomarkers of genetic diseases and for metabolic engineering. The system-wide data can be used to refine predictions made by constraint-based models of cell metabolism. However, the predictions of important output variables may… (More)

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