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A Hybrid Feature Selection Model For Genome Wide Association Studies

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

Through Genome Wide Association Studies (GWAS) many SNP-complex disease relations have been investigated so far. GWAS presents high amount – high dimensional data and relations between SNPs, phenotypes and diseases are most likely to be nonlinear. In order to handle high volume-high dimensional data and to be able to find the nonlinear relations, data mining approaches are needed. In this work, a hybrid feature selection model of support vector machine and decision tree has been designed. This model also combines the genotype and phenotype information to increase the diagnostic performance. The model is tested on prostate cancer and melanoma data and shows promising results.

Product Specifications
SKU :COC75287
AuthorSait Can Yucebas
LanguageEnglish
BindingPaperback
Number of Pages232
Publishing Year2014-09-12T00:00:00.000
ISBN9783659588280
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00