Gene-Gene Interaction Tests Using SVM and Neural Network Modeling

Artificial neural networks (ANN) and support vector machine (SVM) modeling offer promise in the analysis of genotype-phenotype correlation in genetic association studies. In particular, we are interested in studying single nucleotide polymorphisms (SNPs) as genetic markers as predictors of a dichoto...

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Bibliographische Detailangaben

Hauptverfasser:	Matchenko-Shimko, N., Dube, M.P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Bioinformatics Biological system modeling Cardiac disease Cardiovascular diseases Genetics Genomics Neural networks Support vector machines Testing
Online-Zugang:	Volltext bestellen
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