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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Sparse Proteomics Analysis – a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data

Fig. 4

Illustration of the generated data instances. a–c: First seven equidistant Gaussian peaks that are located in fixed positions in each of the three data instances; d–f: Visualization of the data instances from (a)–(c) with additive noise with standard deviation σ=0.1, where the positions of the five condition positive peaks are highlighted by black dots. The blue and red colors indicate the different classes which are determined by the observation process of (11)

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