Sentence examples for approach can select from inspiring English sources

Starting with libraries of well over 100000 possible compounds, this approach can select and characterize those that bind selectively and efficiently to a given protein target.

The candidate genes for brain, liver and testis-selective expression have been examined, and the results suggest that our approach can select some interesting gene targets for further experimental studies.

By using techniques from manifold learning and optimal experimental design, our proposed approach can select the most informative features which can improve the learning performance the most.

The proposed approach can select the principal components which are crucial for estimation performance, and the useful message from PCA can guide the evolution of GA and accelerate the convergence process.

The analysis of high-scoring candidate genes for brain and liver specific expression suggests that our approach can select some interesting targets for further experimental studies.

With our approach, USV can select the ideal path from the Pareto optimal paths set.

The interaction information can then be analyzed using mathematical approaches that can select features of interest for the subsequent analyses, e.g. [ 54, 55].

Empirical results show that the proposed approach not only can select proper training subset and parameter, but also has better generalization performance and fewer processing time.

This new approach has been applied into the system NSACS to select relevant features for artificial datasets and real-world datasets and the results have shown that this approach can correctly select all the relevant features of artificial datasets and at the same time it can drastically reduce the number of features.

The experimental results showed the proposed approach can correctly select the discriminating input features and also achieve high classification accuracy.

The experimental results showed that the proposed approach can correctly select the discriminating input features and also achieve high classification accuracy, specially when compared to other PSO based algorithms.