I am working on the GWAS analysis of some quantitative traits that are not normally distributed. I applied a log transform on some of the traits, but some of the traits still do not appear normal. Out of all the methods of normalization (Box-Cox, log, rank transform, and quantile normalization), are there pros and cons in choosing particular methods of normalization? Do they greatly affect the results of the analysis if I quantile-transformed a dataset to a normal distribution with standard error of 1?
Question: Best Method Of Normalization Of Quantitative Traits
6.1 years ago by
TJSingh • 0
TJSingh • 0 wrote:
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