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Fig. 1 | Genome Biology

Fig. 1

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. 1

Overview of the data analysis strategy. The TEDDY case-control dataset was used. Preprocessing entailed data binning, missing value imputation, and within case-control normalization. Statistical analysis proceeded through NPLS-DA models on islet autoimmunity for each omics modality, selection of variables using the VIP statistics, and a final multi-omics NPLS-DA model with selected variables. Integrative biological interpretation used enrichment analysis to identify relevant pathways, partial correlation analysis to find novel gene/metabolite relationships, and PaintOmics3 to add pathway models to multi-omics data visualization

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Genome Biology

ISSN: 1474-760X

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