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New Findings Reported from University of Selcuk Describe Advances in Support Vector Machines

February 26, 2014



By a News Reporter-Staff News Editor at Biotech Week -- New research on Support Vector Machines is the subject of a report. According to news reporting originating in Konya, Turkey, by NewsRx journalists, research stated, "SNPs (Single Nucleotide Polymorphisms) include millions of changes in human genome, and therefore, are promising tools for disease-gene association studies. However, this kind of studies is constrained by the high expense of genotyping millions of SNPs."

The news reporters obtained a quote from the research from the University of Selcuk, "For this reason, it is required to obtain a suitable subset of SNPs to accurately represent the rest of SNPs. For this purpose, many methods have been developed to select a convenient subset of tag SNPs, but all of them only provide low prediction accuracy. In the present study, a brand new method is developed and introduced as GA-SVM with parameter optimization. This method benefits from support vector machine (SVM) and genetic algorithm (GA) to predict SNPs and to select tag SNPs, respectively. Furthermore, it also uses particle swarm optimization (PSO) algorithm to optimize C and ? parameters of support vector machine."

According to the news reporters, the research concluded: "It is experimentally tested on a wide range of datasets, and the obtained results demonstrate that this method can provide better prediction accuracy in identifying tag SNPs compared to other methods at present."

For more information on this research see: A genetic algorithm-support vector machine method with parameter optimization for selecting the tag SNPs. Journal of Biomedical Informatics, 2013;46(2):328-40. (Elsevier - www.elsevier.com; Journal of Biomedical Informatics - www.elsevier.com/wps/product/cws_home/622857)

Our news correspondents report that additional information may be obtained by contacting I. Ilhan, Akoren Vocational School, Selcuk University, 42460 Akoren, Konya, Turkey (see also Support Vector Machines).

Keywords for this news article include: Konya, Turkey, Eurasia, Genetics, Algorithms, Machine Learning, Emerging Technologies, Support Vector Machines.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Biotech Week


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