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Article

Application of high-dimensional feature selection: evaluation for genomic prediction in man.

Scientific reports - 19 May 2015

Bermingham M L, Pong-Wong R, Spiliopoulou A, Hayward C, Rudan I, Campbell H, Wright A F, Wilson J F, Agakov F, Navarro P, Haley C S

Abstract excerpt

In this study, we investigated the effect of five feature selection approaches on the performance of a mixed model (G-BLUP) and a Bayesian (Bayes C) prediction method. We predicted height, high density lipoprotein cholesterol (HDL) and body mass index (BMI) within 2,186 Croatian and into 810 UK individuals using genome-wide SNP data. Using all SNP information Bayes C and G-BLUP had similar predictive performance...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 25988841
DOI: 10.1038/srep10312
PMCID: PMC4437376

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