Also, in contrast to the original quasi-discrete model, the contributions of individual components are not approximated by the distribution function of carbon numbers.
Not only are the details of the distant parts of the system the least well known but compared to smaller local current systems and inaccuracies resulting from a simplified model, the contributions from those parts are small (Friedrich et al. 2000).
Stepwise multiple-regression analysis was carried out to model the contributions of these variables to predicting the frequency of recognition for each peptide.
From the successfully fitted model, the contributions to variation are quantified in terms of the reduction in total variation (R-squared) that is assignable to each effect; interactions are represented in terms of the covariances between each pair of effects.
In our view, this responsive evaluation was useful to unravel a research project such as Risk Model, the contributions of which remained, on the face of it, unclear.
In the case of PPI, when body weight is added as a covariate to the BayesDiallel model, the contributions of NZO disappear (although the strong NOD contribution remains).
