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In this paper, we introduce a novel feature selection method that combines ant colony optimization (ACO) with support vector machine (SVM) to identify candidate biomarkers from mass spectral serum profiles. In addition, we present an innovative rule extraction algorithm that uses ACO to select accurate if-then rules for the classification of mass spectra. We applied the proposed feature selection...
Knowledge of protein-protein interaction sites is vital to determine proteins' function and involvement in different pathways. Though a wide variety of methods has been proposed over the recent years in order to predict protein-protein interface residues, mainly based on single amino acid sequence inputs, each has its own drawbacks and limitations. We propose to use support vector machines (SVM) to...
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