A genetic algorithm–support vector machine method with parameter optimization for selecting the tag SNPs
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Graphical abstract
Highlights
► We developed a new method to select the tag SNPs. ► The method benefits from SVM and GA to predict SNPs and to select tag SNPs, respectively. ► In addition, PSO is used to optimize C and γ parameters of support vector machine. ► The method has considerably higher prediction accuracy than other methods.
Keywords
Single Nucleotide Polymorphisms (SNPs)
Tag SNPs
Genetic algorithm (GA)
Support vector machine (SVM)
Particle swarm optimization (PSO)
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