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Fig. 2 | Genome Biology

Fig. 2

From: Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

Fig. 2

NPLS-DA analysis of TEDDY data. a NPLS-DA model mode 1 projection with combined gene expression, metabolites, and DBs showing separation between cases and controls. b R2, Q2, and element values for the NPLS-DA model. Each element is a triad containing the combination of mode components that captures the indicated explained variance. c NPLS-DA model mode 3 projection showing the relevance of early time points in the model as they have high absolute values. d VIP variable selection-validation by permutation analysis. For both gene expression and metabolomics datasets, the selected VIP-based features have significantly higher R2 (circles) and Q2 (triangles) values compared to a randomly selected set of features, (*) p < 0.001

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Genome Biology

ISSN: 1474-760X

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