Figure 5
From: Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data
Systematic evaluation of partial correlation coefficients versus pathway distances. Dashed lines in A and B indicate a significance level of 0.01 with Bonferroni correction. A: Pathway distances from our consensus model against partial correlation coefficients for the five lipid-based metabolite classes in our data set. We observe an enrichment of significant partial correlations for a pathway distance of one, which rapidly drops for an increasing number of pathway steps. B: Comparison of partial correlation coefficients and Pearson correlation coefficients. Pearson correlation coefficients are generally high, independent of the actual pathway distance, indicating for systemic coregulation effects throughout the lipid metabolism. C: Wilcoxon rank sum test p-values between the partial correlation distributions of directly and indirectly connected pairs, and sensitivity/specificity/F 1 values measuring the discriminatory power to distinguish direct from indirect pairs.