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Exact(5)
AIC-based model selection favored models B1 and B2 almost equally, and both models were favored over the base model.
Across scales, different gene flow networks models were favored by the data.
The GTR models were preferred by Bayes' Factors, while the HKY85 models were favored by the Bayesian information criterion (BIC).
A standard Likelihood Ratio Test (LRT) is used to extract the most likely models from TreePar and more complex models were favored when their p-value was less than 0.01, following the standard approach for this framework [ 9].
All the above models were favored over the one-ratio model by the likelihood ratio test (P < 0.05, Table 1) and in the two-, three- and six-ratio models, the ω estimate for the dicot subfamily is considerably higher than that for the monocot subfamily.
Similar(55)
It is clear that the more flexible models are favored in all the cases.
In the Spanish context especially, the variety of health management models is favored by the administrative structure and the division of political responsibilities.
The large animal models are favored at the translational stage of the investigation, as they are anatomically and physiologically more proximal to humans, and can be implanted with various devices; however, they are expensive and less amenable to genetic manipulations.
In the specific case of Phytophthora genomes, our results indicate null or alternative models are favored over the chromalveolate hypothesis.
Since both the GTR + Γ model and the HKY + Γ model were favored by AIC and BIC respectively, MEGA6 was used to build bootstrapped maximum likelihood trees with 100 replicates under both models [ 72, 73].
Based on the results, the V∗-model is favored for design purposes.
Related(20)
models were promoted
models were preferred
samples were favored
models were endorsed
models were facilitated
models were supported
models were anchored
models were preferable
models were gone
models were launched
models were analyzed
models were wrong
models were sent
models were interspersed
models were cut
models were discontinued
models were veiled
models were based
models were trained
models were put
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