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Fig. 5 | Genome Biology

Fig. 5

From: Quartet metabolite reference materials for inter-laboratory proficiency test and data integration of metabolomics profiling

Fig. 5

Ratio-based metabolomics profiling improves quantitative data integration in long-term monitoring. a Qualitative concordance of metabolite identification. The numbers of metabolites detected in each batch of metabolomic datasets were shown. b, c Pearson correlation coefficients (PCCs) of pairs of technical replicates and of different Quartet samples were compared using quantitative profiles at the absolute abundance level (b) or ratio to D6 level (c). d, e Cross-batch data integration was visualized by hierarchical cluster analysis (HCA) at absolute abundance level (d) and ratio to D6 level (e). e, f Cross-batch data integration assessment using signal-to-noise ratio (SNR) by principal component analysis (PCA) at absolute abundance level (f) and ratio to D6 level (g)

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Genome Biology

ISSN: 1474-760X

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