Spectral relative standard deviation: a practical benchmark in metabolomics.

@article{Parsons2009SpectralRS,
  title={Spectral relative standard deviation: a practical benchmark in metabolomics.},
  author={Helen M. Parsons and Drew R Ekman and Timothy W. Collette and Mark R. Viant},
  journal={The Analyst},
  year={2009},
  volume={134 3},
  pages={
          478-85
        }
}
Metabolomics datasets, by definition, comprise of measurements of large numbers of metabolites. Both technical (analytical) and biological factors will induce variation within these measurements that is not consistent across all metabolites. Consequently, criteria are required to assess the reproducibility of metabolomics datasets that are derived from all the detected metabolites. Here we calculate spectrum-wide relative standard deviations (RSDs; also termed coefficient of variation, CV) for… 
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