Article
Effects of normalization on quantitative traits in association test.
BMC bioinformatics - 14 Dec 2009
Goh Liang, Yap Von Bing
Abstract excerpt
BACKGROUND: Quantitative trait loci analysis assumes that the trait is normally distributed. In reality, this is often not observed and one strategy is to transform the trait. However, it is not clear how much normality is required and which transformation works best in association studies. RESULTS: We performed simulations on four types of common quantitative traits to evaluate the effects of normalization using...
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