Fig. 6From: 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 DS2 with SNR = 10 and 3.33 showed in the respective rowBack to article page
