Boekhandel Douwes Den Haag

A Hybrid Feature Selection Model For Genome Wide Association Studies

Yucebas Sait Can

A Hybrid Feature Selection Model For Genome Wide Association Studies

A Hybrid Feature Selection Model For Genome Wide Association Studies

A Hybrid Feature Selection Model For Genome Wide Association Studies

 

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.


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Beschrijving A Hybrid Feature Selection Model For Genome Wide Association Studies

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.


ISBN
9783659588280
Pagina's
232
Verschenen
NUR
980
Druk
1
Uitvoering
Paperback / softback
Taal
Engels
Uitgever
LAP Lambert Academic Publishing

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