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Objective of the chapter is the development of a general modeling tool that is able to generate model components automatically, which are documented as and provided with a self-generated interface for model parameterization.
Li and Wong modelled probe level data to generate model based expression index (MBEI) and implemented it in the dChip software [ 2].
Computer simulation techniques have been used to generate model predictions for comparison with experimental data.
In the implementations, ANSYS is used to generate model deformations, and MATLAB is used to perform neural training.
The label also displays a quick-response code that can be read by some smartphones to generate model literature and other data about the vehicle.
To understand how those persisters achieve this feat, we employed a genetic system that uses orthogonal control of MazF and MazE, a toxin and its cognate antitoxin, to generate model persisters that are uniformly tolerant to ofloxacin.
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The best alignments were used to generate models with Modeller v.9.12 [ 29].
In the past, genetic programming has been used to generate models to describe phenomena like the flow of fluids or the gyrations of stock prices.
To identify these determinants, we used computational methods to generate models of complexes that hAID and its N51A mutant form with C and 5 mC.
Orientations identical to the experiments are used to generate models in MD simulations.
Non-linear system identification is used to generate models of modes in physical structures.
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