Fig. 3
From: Label-free data standardization for clinical metabolomics
The test results of the SantaOmics algorithm. The mass peaks were extensively distorted in different ways, and the SantaOmics algorithm was applied to standardize the distorted mass spectra. The initial and distorted by multiplication (10×) mass spectra before (a) and after (b) standardization. Initial and linearly distorted (right corner is suppressed, left corner is powered) mass spectra before (c) and after (d) standardization. Initial and nonlinearly distorted (right and left corner are suppressed, center of spectrum powered) mass spectra before (e) and after (f) standardization. R2, coefficient of determination for linear approximation of the data; the value equal to 1 confirmed that the SantaOmics algorithm is capable of correcting extensive distortions in the mass spectra