TAG SNP selection using GA-SVM approach

dc.contributor.authorIlhan I.
dc.contributor.authorGöktepe Y.E.
dc.contributor.authorKahramanli S.
dc.date.accessioned2020-03-26T18:22:20Z
dc.date.available2020-03-26T18:22:20Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 -- 24 July 2011 through 26 July 2011 -- Rome -- 91770en_US
dc.description.abstractInvestigations on genetic variants associated with complex diseases are important for enhancements in diagnosis and treatments. SNPs (Single Nucleotide Polymorphisms), which comprise most of the millions of changes in human genome, are promising tools for disease-gene association studies. On the other hand, these studies are limited by cost of genotyping tremendous number of SNPs. Therefore, it is essential to identify a subset of SNPs that represents rest of the SNPs. In this study, a new method called GA-SVM was introduced, where Support Vector Machine (SVM) and Genetic Algorithm (GA) are used for SNP prediction and for tag SNP selection, respectively. The suggested method was compared with existing tag SNP selection algorithms over different datasets. Experimental results demonstrated that the suggested method could identify tag SNPs with better prediction accuracy than other methods. © 2011 IADIS.en_US
dc.identifier.endpage34en_US
dc.identifier.isbn9.78973E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage27en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27286
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectGenetic algorithm (GA)en_US
dc.subjectSingle nucleotide polymorphisms (SNPs)en_US
dc.subjectSVMen_US
dc.subjectTag SNPsen_US
dc.titleTAG SNP selection using GA-SVM approachen_US
dc.typeConference Objecten_US

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