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The potential contribution of small, noncoding RNA to human brain genetic function has been known for at least 20 years [ 50], but more recently there has been a virtual explosion into molecular-genetic research involving the neurobiological function of small, noncoding RNA and miRNA in brain development, injury, aging, health and disease [ 38, 49, 51- 59].
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In this study, for the conduct of optimization by the genetic algorithm, the objective function has been selected out regarding fitness functions and the main goal is the minimization of these functions.
No genetic or cytological analysis of SCO1997 function has been reported, but all actinobacteria also possess a second parA-like gene (e.g. SCO1772, parA2: Fig. 9).
The fitness function has been maximized adopting Genetic Algorithms (GA).
An appropriate objective function has been identified for genetic algorithm (GA) based optimization technique with multiple design constraints.
In the complex nonlinear equations, the problem was changed into the constrained optimization problem and genetic algorithm, in conjunction with augmented Lagrangian function has been used to find the solution.
This function has been confirmed using reverse genetic approaches.
The objective function has been minimized using the micro-genetic algorithm (MGA).
The behavioral profile of NPY function has been extensively studied using traditional pharmacological and classic genetic animal models.
RAID function has been disabled.
For all of them, genetic defects impairing their function have been described.
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