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Presently, a genetic algorithm (GA)-support vector machine (SVM) coupled approach is proposed for optimizing the 2D molecular descriptor subset generated for series of P2Y 12 (members of the G-protein-coupled receptor family) antagonists, with the statistical performance and efficiency of the model being simultaneously enhanced by SVM kernel-based nonlinear projection. As we know, this is...
Accurate prediction of splice sites in DNA sequences is a challenging problem in bioinformatics. The splice site prediction still faces many tough challenges, and above all is that it is not clear how many and which features are relevant with the splicing process. So feature selection is often used to improve the prediction accuracy, and it will also provide us with useful biological knowledge. On...
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