Discovery of food identity markers by metabolomics and machine learning technology.

For this process we filtered our complete data set by 1-way ANOVA to enrich for mass features with highly significant information ( P < 10 −5 ) in regard to the distinction of seed classes either excluding or including the colour variants of each seed type (Table S2 ; columns AV-AW).

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