Figure 3

Controlling for abundance reduces the magnitude of the correlations between evolutionary rate and the number of interactions from those shown in Figure 2, and the remaining partial correlation still depends on the bias towards counting more interactions for abundant proteins, both when abundance is measured by (A) gene microarray expression levels and (B) CAI. The partial correlations are Kendall's partial τ, the correlation between interactions and abundance is Kendall's rank correlation τ, and points are for all data sets listed in Table 1.