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. 2019 Oct 23;36(6):1801–1806. doi: 10.1093/bioinformatics/btz798

Fig. 2.

Fig. 2.

Binner output. Two clusters are shown. The first three columns come from the input file. Each row corresponds to a single feature. Binner calculates median intensity of each feature across all samples. The subsequent columns provide Binner annotations for isotopes and adducts/neutral losses. To help the user understand the origin of the annotations, Binner provides the respective calculations in the Derivations column. Features highlighted in green represent the most abundant feature in the feature group, and all other members of the feature group are highlighted in yellow. The heatmap on the right helps visualize the correlations that were used to cluster the features