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Fig. 4 | Genome Biology

Fig. 4

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

Fig. 4

Ratio-based metabolomics profiling enables quantitative data integration across laboratories. a Qualitative concordance of metabolite identification. The numbers of metabolites detected in different batches of metabolomic datasets were shown. b, c Pearson correlation coefficients (PCCs) of pairs of technical replicates (b) and of different Quartet samples (c) were compared using quantitative profiles at absolute abundance level or ratio to D6 level. d, e Cross-lab data integration was visualized by hierarchical cluster analysis (HCA) at the absolute abundance level (d) and ratio to D6 level (e). f, g Cross-lab 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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