Fig. 7From: Sparse Proteomics Analysis – a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry dataThe height of true signals (6 spiked in peaks) comparing to the height of noise and height of the corresponding values in the pure data-set. Signal-to-noise ratio, which was calculated as the ratio of median of spiked-in signals and the estimated level of noise is shown above the corresponding peaksBack to article page