ERC2.0 evolutionary rate covariation update improves inference of functional interactions across large phylogenies

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Figure 3.
Figure 3.

Removal of heteroskedasticity improves ERC predictive power. Receiver operator characteristic (ROC) curves contrasting true-positive and false-positive rates demonstrate higher power in ERC2.0 values calculated using corrected rates (red curve; AUC = 0.652) compared with ERC1.0 values using uncorrected, heteroskedastic rates (blue curve; AUC = 0.581). The true-positive set are interactions from STRING with combined scores that are more than 700. ERC scores were calculated on a phylogeny of 18 yeast species.

This Article

  1. Genome Res. 35: 2041-2051

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