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Quantifying Dynamic Regulation in Metabolic Pathways with Nonparametric Flux Inference.

Fei He1, Michael P H Stumpf2

  • 1Centre for Integrative Systems Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London, United Kingdom; School of Computing, Electronics, and Mathematics, Coventry University, Coventry, United Kingdom.

Biophysical Journal
|May 12, 2019
PubMed
Summary

We present a new method using Gaussian processes to infer metabolic pathway dynamics from metabolite measurements. This approach enables dynamic hierarchical regulation analysis without needing time-dependent flux data.

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