performQuantileNormalization {NormalyzerDE} | R Documentation |
It makes the assumption that the data in different samples should originate from an identical distribution. It does this by generating a reference distribution and then scaling the other samples accordingly.
performQuantileNormalization(rawMatrix, noLogTransform = FALSE)
rawMatrix |
Target matrix to be normalized |
noLogTransform |
Assumes no need for log transformation |
Normalized matrix
data(example_data_only_values_small) normMatrix <- performQuantileNormalization(example_data_only_values)