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Automatic Quality Assessment Of Mass Spectrometry Experiments By Multivariate Quality Control Metrics
2016
Zenodo
Automatic quality assessment of mass spectrometry experiments by multivariate quality control metrics and the relation between low-quality experiments and identifications Introduction Despite the many recent technological and computational advances, performing a mass spectrometry experiment remains a complex activity and its results are subject to a large variability. To understand and evaluate how technical variability affects an experiment, several computationally derived quality control (QC)
doi:10.5281/zenodo.55998
fatcat:267h2ytb5jdybitxdljea2e2a4