Integrative analysis of time course metabolic data and biomarker discovery

@article{Jendoubi2018IntegrativeAO,
  title={Integrative analysis of time course metabolic data and biomarker discovery},
  author={Takoua Jendoubi and Timothy M. D. Ebbels},
  journal={BMC Bioinformatics},
  year={2018},
  volume={21}
}
Background Metabolomics time-course experiments provide the opportunity to understand the changes to an organism by observing the evolution of metabolic profiles in response to internal or external stimuli. Along with other omic longitudinal profiling technologies, these techniques have great potential to uncover complex relations between variations across diverse omic variables and provide unique insights into the underlying biology of the system. However, many statistical methods currently… 

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