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For example, a conventional t-test based approach is usually used to evaluate the statistical difference of genes among the individuals between two contrasted classes for a typical microarray dataset.
Although NBI mitigation methods have been proposed using NBI subspace and/or limiters for UWB systems, subspace-based approaches are usually not feasible due to no apriori knowledge of the NBI subspace in a real scenario, and the limiter-based approach is also non-optimum.
These appearance-based approaches are usually more robust in experiments by better exploiting the statistical properties.
As a result, the tree-based approaches are usually centralized and applied in the deployment phase of sensor networks.
Ligand-based approaches are usually used when there are compounds known to be active or inactive for a specific target.
The CdSe/ZnS NCs prepared by most injection-based approaches are usually hexagonal in structure, while those prepared by our route are cubic in structure.
Image metric-based approaches are usually able to obtain an optimal solution even in the presence of strong background noise and clutter.
Whilst place-based approaches are usually associated with situational and community crime prevention initiatives, we advocate utilising a broader range of theoretically and empirically informed prevention approaches including (but not limited to) developmental prevention, offender and victim focused initiatives, as well as situational and community crime prevention.
Prevalence-based approaches are usually considered suitable for chronic illnesses like MS. Incidence-bapproachesaches require the estimation of life-time costs for patients contracting the illness.
A family based approach is imperative.
Object oriented approaches are usually based on two main steps: i) first the segmentation, ii) then the classification.
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