Sentence examples for predictors of evolutionary from inspiring English sources

One consequence of this is that the classical epistatic variance components, which do not distinguish directional and non-directional effects, are useless as predictors of evolutionary dynamics.

Our results are consistent with previous findings in U.S. samples demonstrating that religious denomination, religiosity and education are predictors of evolutionary acceptance among adults.

Interestingly, we find that co-expression implies correlated evolution independently of other known predictors of evolutionary rate.

However, these factors are poor predictors of evolutionary rates (e.g., Ingvarsson 2007; Larracuente et al. 2008).

Nonetheless, closeness, and in particular betweenness, seem to be better predictors of evolutionary rates than degree (fig. 1 and table 1).

We explored pairwise relationship between several genomic features and evolutionary rates in passerines (ω and ds) obtained from our two-way alignments, so as to identify predictors of evolutionary rates between the two passerines.

At the beginning of the semester, one's high school experience with evolution was positively associated with Factual Understanding (β = .286, p < .001; see Table 5) and reports of evolution's Relevance (β = .302, p < .001; see Table 5), making it the most important predictor of evolutionary attitudes.

We show that clustering is a non-redundant predictor of evolutionary rate, and we speculate that conflicting signals of clustering and constraint may be indicative of a historical period of relaxed selection.

To place in perspective the contribution of the dispersion ratio as a predictor of evolutionary rate, we compared its explanatory power to those of a diverse set of protein-related attributes.

Although variation in expression level provides a strong predictor of evolutionary rate in this system, each of the functional variables are correlated with one another, making it impossible to completely isolate their effects.

To the extent that the cost of expression is dominated by such factors as the energetic cost of amino acid polymerization and the use of the translational apparatus, as appears to be the case for E. coli (Stoebel et al. 2008), the model predicts that the rate of synthesis will be the better predictor of evolutionary rate.