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We performed a model study to investigate the sensitivity of the (quasi-) electric phase tensors compared to the sensitivity of the standard MT phase tensor.
Finally, we performed a model screening of yeast by applying the direct functional assay system, for example, a screening of Ex4-yeast in the co-presence of excess Ctrl-yeast.
To obtain data about migration of impurity ions and intrinsic defects in the disordered area of MCT heteroepitaxial layer, the authors performed a model experiment by applying program packages TRIM_2008.
We performed a model with covariates using for the construction of the propensity score weighted by the IPTW including the explicative variables, baseline lymphocyte count, and evolution at the third day [19].
We performed a model screening experiment using cfDNA from lung cancer patients.
To confirm this selection estimate we also performed a model test with CODEML.
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We also performed a model-linked upscaling approach using random forest machine learning in addition to the stratify-and-multiply upscaling approach.
Previous work (Feist et al., 2010) performed a model-driven evaluation of the growth-coupled production potential for E. coli to produce multiple native compounds from different feedstocks.
We finally performed a model-based unsupervised hierarchical clustering of the individuals using the program frappe [21].
Second, we performed a model-based Bayesian inference clustering as implemented in STRUCTURE 2.2 [ 47, 48].
We performed a model-based analysis that simulates screening of tetanus immunity and risk of tetanus based on prophylaxis administration.
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