SNP Selection in Genome-Wide Association Studies via Penalized Support Vector Machine with MAX Test

One of main objectives of a genome-wide association study (GWAS) is to develop a prediction model for a binary clinical outcome using single-nucleotide polymorphisms (SNPs) which can be used for diagnostic and prognostic purposes and for better understanding of the relationship between the disease a...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-8
Hauptverfasser:	Kim, Jinseog, Sohn, Insuk, Kim, Dennis (Dong Hwan), Jung, Sin-Ho
Format:	Artikel
Sprache:	eng
Schlagworte:	Biostatistics Genome-Wide Association Study - statistics & numerical data Humans Logistic Models Models, Genetic Polymorphism, Single Nucleotide Prognosis Support Vector Machine
Online-Zugang:	Volltext
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