Sentence examples for model detected positive from inspiring English sources

The branch-site model detected positive selection acting on the ancestral branch of the New World Monkey lineage, suggesting an episodic adaptive evolution.

Application of the site and branch-site models detected positive selection on exon B (P<0.011) in the subgenus Drosophila during the diversification of D. grimshawi, D. mojavensis and D. virilis (Table 1).

The mixed-model approach detected positive covariances for observational components of covariance y1 and y3 for our indices of both immune response and body condition (Table 1).

No overlap was found between the two models because the branch-site model is detecting positive selection on a selected branch whereas the site model is detecting positive selection affecting the whole phylogenetic tree.

M8A was used as null model for detecting positive selection by comparing its fit with M8 in which the additional category of ω is free to take any value above 1 (positive selection).

We used both site models and branch-site models to detect positive selection.

In this study we compared three models namely M0, can be called as one ratio model where all branches have equal rate (dN/dS = constant value), M2 (null model) was used to detect null hypothesis and M2a (alternate model) model used for detecting positive selection or acceleration in the post duplication branch forming the novel subfamilies of GGT and third model [ 53– 53].

In addition to the sliding-window analyses, we further detected positive selection on the primate Tetherin using the site model in PAML package.

Numerous studies have shown the ability of the site-specific and the branch-site specific models to detect positive selection in cases where the branch-specific models did not, indicating that averaging over sites is generally a more serious problem than averaging over lineages and that in many cases using a branch-site specific model increases the power to detect positive selection [ 17- 22].

We used a codon-based likelihood method under the branch-site and clade models to detect positive selection operating on the virus.

The comparison of these models allows detecting positive selection [ 19].