Single nucleotide polymorphism selection using independent component analysis.

Abstract excerpt

Bioinformatics research in genome wide association studies necessitates the development of algorithms capable of manipulating very-large datasets of Single Nucleotide Polymorphisms (SNP). To facilitate such association studies, we propose a novel framework for SNP selection using Independent Component Analysis (ICA). Compared to previous ICA-based methods, our framework works as a filtering technique to reduce...

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