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Models with predictive power were obtained.
This complicates the comparison of simulations with experiments, the consistent implementation of more than one driving force, and the development of models with predictive capabilities.
The lack of statistical data also precludes the use of models with "predictive" ability, using data about the past.
Building and validating adequate computational models with predictive power that can be applied to risk assessment.
This method, implemented in the Bioconductor package CellNOptR (http://www.ebi.ac.uk/saezrodriguez/software.html), provides context-specific models with predictive power.
Many models with predictive value have been developed from medical research, with demonstrated tangible impacts on drug development from discovery through the clinical stage.
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Docking simulation study was carried out and their inhibitory activity was predicted by the best structure based model with predictive activity of ranging from 8.43 to 8.85 log unit.
A regression equation for predicting the carotenoid yield as a function of three extraction variables was derived by statistical analysis and a model with predictive ability of 0.97 was obtained.
This study demonstrated that the PSRK EOS was a simple model with predictive ability for solubility evaluation in preliminary process design and development for supercritical fluid technology using CO2-expanded organic solvents.
It should be noted that an objective function that simply optimises a measure of fit to the training data is not a suitable choice for the development of a model with predictive ability.
EASE-AA2 employed a single support vector machine (SVM) model with predictive features selected using a greedy feature selection algorithm.
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