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All genes were modelled based on a modified version of the model originally presented by Goodwin [25].
The second model was a bearings-only tracking (BOT) model originally presented in [23] and also analyzed in [16, 17].
This paper extended the model originally presented by Wee et al. (2007) and corrected by Hsu and Hsu (2012).
In particular, in the following we refer to the model originally presented in [11] and consider the only one-dimensional (mode I) case, that is governed by the following equations: t = ( 1 - D ) k 〈 [ [ u ] ] 〉 + + k - 〈 [ [ u ] ] 〉 - Y = 1 2 k 〈 [ [ u ] ] 〉 + 2 Y - F ( D ) ≤ 0 ; D ̇ ≥ 0 ; D ̇ ( Y - F ( D ) ) = 0 (1).
Here we use the new and improved BEB version of the branch-site specific model originally presented in [ 23] to detect genes that may have been influenced by positive selection.
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The initial DEA model (CCR model), as originally presented in [17], was built on the earlier work of Farrell.
The biased competition model, as originally presented, is descriptive and does not propose a specific mechanism.
This model is based on the ideas originally presented by Lewis [ 84].
Here, we present a variation of such a mathematical model for ventricular fiber orientation, as originally presented by Potse et al. (39).
In a phenotype-driven screen, the Myshkin (Myk) dominant mutant was selected due to its small size in addition to the presence of spontaneous, recurrent convulsive seizures and was originally presented as a model of epilepsy (85).
Walras originally presented four separate models of exchange, each recursively included in the next.
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CEO of Professional Science Editing for Scientists @ prosciediting.com