Fig. 7
From: Using multi-scale genomics to associate poorly annotated genes with rare diseases
Comparison of NPP versus STRING for genes with recent (2020–2022) annotation. A The x-axis indicates -log(10) p-values obtained from running the K-S test using NPP. The y-axis indicates -log(10) p-values obtained from running the K-S test using the STRING dataset. The red dots represent the genes where NPP performed better than STRING, while the blue dots indicate the opposite. The marginal histogram indicates the distribution of the -log(10) p-values of both datasets. The correlation score between the two datasets is 0.046, suggesting that the two datasets exhibit a complex relationship, where a subset of the data displays complementarity, while another subset shows correlation. B Density distribution of the -log(10) p-values obtained from the K-S test using the NPP, STRING, and both (combined). Significance was calculated using the Wilcoxon test (*p-value < 0.05, **p-value < 0.01; ns, nonsignificant). Combining NPP and STRING achieved significantly more significant results that either approach alone