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VAAST uses a feature-based, maximal likelihood, approach to identify variants suspected to be pathogenic.
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restricted maximum likelihood approach.
(2013) used the marginal maximum likelihood approach.
In this loop, the maximum likelihood approach is used (estimate).
We propose a maximum likelihood approach to this end.
A maximum likelihood approach was used to fit possible kinetic equations.
The computing model and algorithm were implemented with the maximum likelihood approach.
The estimates were modelled to best fit the observed data using maximum likelihood approach.
Optimal models of nucleotide substitution were assessed using the maximum likelihood approach implemented in Modeltest v3.7 [91].
The unrestricted maximum likelihood approach used in our algorithm may not always converge.
These analyses employed an approximately maximum likelihood approach (ML) using FastTree 2 [114] with default settings.
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