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Omics biomarker identification pipeline for translational medicine

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Figure

Table 1 Cohort statistics of  samples analysed form the Cambridge Baby Growth Study (CBGS) and Pregnancy Outcome Prediction Study (POPS)
Fig. 1 Structure of the pipeline and different steps are shown. This consist of the data quality checks (Purple), feature selection with optimised parameters (Green), identification of the biomarkers (Green), and finally accessing the clinical relevance of the markers based on the stability analysis and data visualization (Brown)
Fig. 2 a The frequency of the lipids (y axis) ranked by their selection out of 100 randomized sampling splits using Elastic Net

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