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Effects of normalization on quantitative traits in association test
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:...
Autores principales: | Goh, Liang, Yap, Von Bing |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800123/ https://www.ncbi.nlm.nih.gov/pubmed/20003414 http://dx.doi.org/10.1186/1471-2105-10-415 |
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