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While studies have shown that values found in anchor-based and distribution-based approaches are often comparable, in calculations based on distribution-based approaches it is still not taken into account which amount of change is considered relevant by patients.

Regression-based approaches are often employed to estimate riverine constituent concentrations and fluxes based on typically sparse concentration observations.

Pharmacophore-based approaches are often used in drug design because of the missing 3D structure of many interesting macromolecules.

When the 3D structure of the binding site is unknown, pure ligand-based approaches are often used to perceive the 3D pharmacophore.

However, spectral patterns learnt by NMF-based approaches are often hard to interpret and lack explicit semantics.

However, due to exhaustive computations including non-linear multi-dimensional optimization processes in the SfM algorithm, model-based approaches are often considered impractical solutions for user localization.

Anchor-based approaches are often easier to interpret for clinical audiences than the distributional-based approaches.

Preference-based approaches are often used in cost-effectiveness analyses and incorporate values or utilities for health outcomes [ 23].

Thus, population-based approaches are often the best option and can identify covariates that may be useful to guide dose individualization.

Model-based approaches are often used to investigate the formation of morphogen gradients and to analyze the sufficiency of the known regulatory mechanisms.

The 'tree-based' approaches are often considered superior to the 'pair-linking' methods because the former utilize explicit algorithms to identify duplication and speciation events on the gene/protein family tree, whereas pair-linking methods use the symmetric-best-match relationship as a surrogate criterion of orthology.

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