| CPC H01J 49/0036 (2013.01) [G01N 30/7233 (2013.01); G01N 30/8624 (2013.01); G06N 20/00 (2019.01); G01N 2030/027 (2013.01)] | 10 Claims |
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1. A computer-implemented method performed by a computing system, comprising:
obtaining raw mass spectrometry data from samples, wherein the samples belong to different batches;
determining true signals from the raw mass spectrometry data;
identifying one or more constituents corresponding to each of the true signals;
for any constituent true signals, wherein the constituent true signals correspond to a same constituent in different batches:
determining intensities corresponding to the constituent true signals;
in response to determining that the intensities across different batches exhibit a non-randomized distribution of intensities according to a statistically significant criteria,
normalizing the intensities across the different batches, wherein the normalizing of the intensities comprises:
for each batch of the different batches, at each particular sample of the each batch, multiplying a sample intensity of the each particular sample by a global median intensity across the different batches, divided by a batch median intensity of the each batch, wherein normalizing results in uniform batch median intensities across the different batches; and
based on the normalized intensities, determining concentrations of the one or more constituents corresponding to the constituent true signals.
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