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Metabolomics of pulmonary exacerbations reveals the personalized nature of cystic fibrosis disease

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Academic year: 2017

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Table 1 Similarity of metabolomes between patient and clinical state classifiers. ANOSIM and per- per-MANOVA results on Bray–Curtis dissimilarity of each abundance matrix for the two longitudinal datasets analyzed.
Figure 2 Molecular network of exacerbation biomarkers. Molecular network clusters containing two significant biomarkers of exacerbation identified in the CF sputum metabolome data
Figure 3 The normalized abundance of specific known metabolites identified through GNPS in CF1 over 1,492 days
Figure 4 Longitudinal dynamics of antibiotics in a single patient over 4 years. Graph of the normalized abundance of xenobiotics in the CF1 lon- lon-gitudinal dataset
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