Simulation and reconstruction ofmetabolite-metabolite association networks usinga metabolic dynamic model and correlation based-algorithms

@article{Jahagirdar2018SimulationAR,
  title={Simulation and reconstruction ofmetabolite-metabolite association networks usinga metabolic dynamic model and correlation based-algorithms},
  author={Sanjeevan Jahagirdar and Mar{\'i}a Su{\'a}rez-Diez and Edoardo Saccenti},
  journal={bioRxiv},
  year={2018}
}
Biological networks play a paramount role in our understanding of complex biological phenomena and metabolite-metabolite association networks are now commonly used in metabolomics applications. In this study we evaluate the performance of several network inference algorithms (PCLRC, MRNET, GENIE3, TIGRESS and modifications of the MR-NET algorithm, together with standard Pearson’s and Spearman’s correlation) using as a test case data generated using a dynamic metabolic model describing the… 
2 Citations
Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models
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The different types of errors as present in modern comprehensive life science data are discussed and it is shown with theory, simulations and real-life data how these affect the correlation coefficients.
Corruption of the Pearson correlation coefficient by measurement error: estimation, bias, and correction under different error models
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The different types of errors as present in modern comprehensive life science data are discussed and it is shown with theory, simulations and real-life data how these affect the correlation coefficients.

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