Fig. 5From: Sparse Proteomics Analysis – a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry dataComparison of numerical results for SPA (=1-bit CS), Lasso, and ℓ 1-SVM on the data-set DS1 with SNR = 10, and 3.33, showed in the respective row. Note that the data consist of 5 condition positive and 195 condition negative peaks which are equidistantly located in the spectraBack to article page