Sentence examples for model the trait from inspiring English sources

Specifically, in this model, the trait of interest is regressed onto the additive and dominance scores at each locus (subscripts i, j), the score of the second character (subscript k), and the interactions between the second character and additive and dominance scores at the locus.

In our model, the traits examined do indeed influence predation rate in opposition, but their combined influence on community structure is mechanism- and context-dependent.

Consistent with our model, the traits being measured by Bell et al. are norms that are plausibly subject to the analog of disruptive selection; other kinds of traits might have lower FST values.

There are two basic kinds of context biases: those based on frequency and those based on who is modeling the trait.

In multivariate linear regression models, the trait (index of insulin sensitivity/secretion) was chosen as dependent variable.

In these models the trait was the dependent variable whereas age, sex, insulin sensitivity and genotype were the independent variables.

It is surprising that much effort has been dedicated to issues like data normalization [ 3] or computing efficiency [ 4] whereas modelling the trait itself (i.e., the expression level) has been severely neglected.

Model 4, the final model, allows the trait factors to correlate freely while the method factors are constrained to be perfectly correlated with each other.

Exploration of different genetic models indicated that there is not a simple model explaining the trait variance.

A more detailed description of the two models follows: ∙ Multiple-trait model The multiple-trait across country evaluation (MACE) [ 6] can be seen as a G*E analysis for which the environment is country-specific.

The R2 of the multiple regression model of the trait against the eigenvectors provides an estimate of the amount of phylogenetic signal in the data [ 59].