Class | Analysis and data manipulation command |
Name | quantile_normalization |
Arguments | <trait1> [...<traitN>] |
Carry out quantile normalization over a set of quantitative traits, replacing each observed value with the mean value at the corresponding order statistics of all the chosen traits. Missing values are dealt with by reusing the nearest value rather than linear interpolation
Example:
>> read bin melaexpression.bin.gz Read in 22 pedigrees, 22 individuals 1454712 variables (0.80 s) Dataset occupies 35.442 Mb. >> set plevel 1 >> qua Performing quantile normalization on 22277 traits. Quantile Mean value 0.045455 406.4 0.090909 403.6 0.136364 398.8 0.181818 396.2 0.227273 412.8 0.272727 429.4 0.318182 430.7 0.363636 419.6 0.409091 421.8 0.454545 420.5 0.500000 412.9 0.545455 419.6 0.590909 419.1 0.636364 432.2 0.681818 429.4 0.727273 423.3 0.772727 434.7 0.818182 431.9 0.863636 429.8 0.909091 439.3 0.954545 433.7 1.000000 436.6
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