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The experiments created using the methodology allow to identify the strength of effects and interactions of different design factors on selected performance indicators.
The descriptor space subsampling approach and ensemble methodology allow the methods to be applied to molecules more distant from the training data where data mining would be more likely to fail due to the lack of common fingerprints.
Design tools supporting this methodology allow very fast to implement, check and estimate many possible design versions, to find an optimized decision of the design problem and to simplify the verification problem for digital systems.
This methodology allow for a selection of sets of amino acids for each of the two varied positions separately that in the next step could be submitted for SMD based on physicochemical properties.
Next-generation sequencing techniques such as 454 pyrosequencing methodology allow for a massive characterization of expressed genes [ 6- 10].
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This methodology allows for qualitative image assessment.
This methodology allowed reconstructing 43 time series.
This methodology allows us to thoroughly analyse different configurations.
This methodology allows its application to numerical and physical models.
The methodology allows optimizing also the mixture composition.
Response surface methodology allowed the optimization of process variables.
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