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Fig. 2 | Clinical Proteomics

Fig. 2

From: Quality assessment and interference detection in targeted mass spectrometry data using machine learning

Fig. 2

Engineered QC features capture anomalies in peak quality. Representative peaks and features are depicted from the following QC metric groups: Jaggedness (a), similarity (b), symmetry (c), FWHM (d, e), modality (f), intensity (g), shift (h) and area ratio (i). The represented examples provide cases of abnormal values for each feature. The medians of feature values over the training dataset are provided as a reference point for a peak that is of acceptable quality. Definitions of the metrics in this figure are described in Additional file 1: Table S1

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