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Genetically engineered mice have been generated to model a variety of neurological disorders.
Through these approaches, numerous mutant and transgenic zebrafish have been generated to model human cancers, and these have also been used in chemical screens.
Therefore, several mutant and transgenic zebrafish have been generated to model human cancers and have been used for in vivo drug screenings.
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Phase-shifted images were generated to model continuous motion, with 90 frames/cycle.
Three dimensional representative volume elements (RVEs) are generated to model the composite's microstructures.
Regression equations were generated to model the properties of interest and generate response surfaces and contour plots.
A 15,000-element, two-dimensional (2D) axisymmetric mesh and a 800,000-element 3D mesh were generated to model the solidification of CdZnTe during all phases of crystal growth.
For each of these sensory systems, separate and specific Gaussian probability distributions are generated to model the belief in observing one or several persons.
For each dataset, 500,000 individuals were generated to model a variety of genetic risk scenarios involving one or more genotypes conferring an enhanced risk of disease.
Several transgenic or mutant zebrafish lines were generated to model neurodegeneration in fish [ 105– 108].
Conditional models lacking Fxn primarily in the pancreas (Ins2-Cre; Table 1) were generated to model the pathophysiology of diabetes mellitus associated with FRDA (Ristow et al., 2003) (Table 1).
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