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Target motion models form two categories, the linear and maneuver (nonlinear) models.
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Two pairs of site models forming two likelihood ratio tests of positive selection (i.e. M1a vs. M2a, and M7 vs. M8) were fitted to our data.
Empirical and deterministic models form the two opposing ends of the accuracy-complexity trade-off.
The results from the ROC curve analyses were used to form two screening models that were evaluated in PAH versus controls, and in PAH versus ILD patients (Table 3).
These two models form an upper and lower bound for our topology search.
These two models form the foundation of the kContact intervention model.
We observed that these residues in both models form a loop between two alpha-helices.
Based on these three models, we formed three "scores" for each image, derived by summing the products of the nonzero regression coefficients of the PCs with the corresponding PC values of that image.
These three models form a continuum between assuming a star phylogeny with no hierarchical structure (OLS), a phylogeny that was specified by the user (PGLS) and a phylogeny that can exhibit intermediate values between the star and the specified hierarchical phylogeny (RegOU).
These three models form the basis of our approach for identifying various age-dependent gene expression patterns.
Two of these models form homodimers (1DH3 and 2OQQ), whereas the other two form heterodimers (1T2K and 1YSA).
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