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Specifically, this analysis is performed by utilizing the set of growth-associated genes derived from the train-set to build the models of the test-set, where the correlation between measured and predicted proliferation rates is then evaluated.
At each iteration we evaluate three classifiers: (i) utilizing the set of features, selected up to the current iteration, (ii) taking the currently best subset, and (iii) based on the remaining features.
To obtain a variant-based representation of the data, we repeated the network generation on marker scale by utilizing the set of variants associated with more than one distinct trait.
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The controller is designed by utilizing the set-valued method for l1- optimization, which explicitly addresses state constraints and controller saturations in the design process.
Each agent in the distributed system has an observer with a model of the plant that utilizes the set of locally available measurements, which may not make the full plant state detectable.
The ERA will also utilize the set of femtocells and their capabilities in terms of capacity and possible power-levels at which they can be configured to operate.
We utilized the set of measured binding affinities to generate a prediction model of murine TAP specificity, and evaluated its accuracy.
To utilize the set of weak ARSs we note that the aROC has an equivalent probabilistic formulation.
Our strategy took advantage of the biological phenomenon of the off-target effect of RNAi and utilized the set cover algorithm and the group testing method.
Any QoL research involving a certain instrument would utilize the set of vignettes developed to match the content of the instrument in question.
For this analysis we utilized the set of the potentially active L1s (i.e. full-length elements with intact ORFs) that were inserted within introns.
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