If the above hypothesis of a dominating factor is true, there should be a much smaller correlation between the predicted Δ G FoldX,i (and Δ G vina,i) and ei as compared to the correlation between Δ G FoldX,i (and Δ G vina,i) and Δ G exp,i.
While our study had much smaller correlation coefficients, a similar order of the magnitude of the correlations between the HIT-6 and the SF scale scores were observed where the strongest association was with RP and SF scales and the weakest was with the MH scale.
As the age variability within these age groups is much smaller, the correlation of absolute and expected survival and the standard error of expected survival may be much lower.
Examination of the association between measured foF2, hmF2 and M 3000 F2 illustrates consistent much more smaller correlation coefficients with no systematic linkage.
Effects of non-additive genetic factors are to be expected, since the DZ/sib correlations are much smaller than the MZ correlations.
Using the same test and the same scoring method, *Dronjic and Helms-Park (2014), however, found native English speakers' performance on the two subsets showed much smaller, albeit significant, correlations (.383-.460).
While more than 40 attributes were used in the analysis, the effective number of gene pair attributes was likely much smaller due to correlations among attributes.
Now say that we impose timescale separation conditions, i.e., the correlation time of fast fluctuations, τ f, is much smaller than the correlation time of slow fluctuations, τ s.
Partial correlations between gene expression variability and methylation and between GC3 and gene expression variability are much smaller than the full correlation coefficients.
When PPI degree is controlled, the partial correlation between fitness pleiotropy and BW is −0.077 (p = 2.6e−05), indicating an absolute value much smaller than the partial correlation between fitness pleiotropy and PPI degree when BW is controlled.
