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Conventional in vivo directed evolution methods have primarily linked the biomolecule's activity to bacterial cell growth.
While substantial intratumoral heterogeneity has been detected in cancer patients using next generation sequencing technologies [76], current drug combination prediction methods have primarily focused on targeting the predominant tumor subpopulation.
The existing Building Information Model (BIM -based decision-support methods have BIM -basedto create alternatives rapidly, evaluate multiple metrics, and visualize alternative plans prior to actual construction; however, those methods have primarily focused on beending design and construsedon.
Hierarchical clustering methods have primarily focused on grouping nodes.
These Bayesian methods have primarily focused on proper handling of error variance in the statistical model.
These methods have primarily been applied to cancer registry and hospital records, but not to physician claims databases.
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Recent applications of the HDG method have primarily been for single-physics problems including both solids and fluids, which are necessary building blocks for FSI modeling.
The use of x-ray computed tomography (CT) as a standalone method has primarily been used to characterize pore structure, cracking and mechanical damage in cementitious systems due to low contrast in the hydrated phases.
Thus, the method had primarily practical and descriptive value, especially since its results could be associated with other variables involved in important life outcomes.
In Norway, the method has primarily been used to treat parent child interactional problems in community health and welfare services, in kindergartens, in work with adoptive parents and in child and adolescent psychiatry departments [ 20, 51].
However, a host of methodological uncertainties have impeded the application of directed connectivity methods, which have primarily been validated via "ground truth" connectivity patterns embedded in simulated functional MRI (fMRI) and magneto-/electro-encephalography (MEG/EEG) datasets.
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