Figure 7
From: Prediction of gene-phenotype associations in humans, mice, and plants using phenologs
Phenologs predict candidate genes substantially better than random. Shown are (a) ROC and (b) precision-recall plots for k=100 naïve Bayes using the hypergeometric weighting function, predicting human (OMIM) gene-disease associations from human, mouse, worm, fruit fly, yeast, and plant gene-phenotype association data. We restrict the evaluation to only those phenotypes with four or more known genes. The solid line shows the actual data, and the dashed line shows the result on similarly sized random gene sets. Thus, integrating phenologs across multiple species successfully prioritizes candidate genes to an extent far greater than random chance.