Skip to main content
Fig. 3 | Molecular Autism

Fig. 3

From: Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm

Fig. 3

In-sample predictive performance of kernel models. a Adjusted mean \({R}^{2}\) (Y-axis) of best kernel models over various numbers of the top biomarkers (X-axis) in the CpG (dark blue), miRNA (orange), and mRNA (light blue) omics over 50 Monte Carlo folds. The X-axis scale is logarithmic. b Bar plots of adjusted mean \({R}^{2}\) (Y-axis) for optimally tuned kernel predictive models using all combinations of omics (X-axis) over 50 Monte Carlo folds. The error bar gives a spread of one standard deviation around the mean adjusted \({R}^{2}\)

Back to article page

Molecular Autism

ISSN: 2040-2392