View source: R/quantiseqr_helpers.R
makeQN | R Documentation |
Perform quantile normalization of expression data
makeQN(mix.mat)
mix.mat |
Matrix or data.frame with microarray gene expression values for all samples to be deconvoluted, with gene symbols as row names and sample IDs as column names. Expression levels should be on non-log scale. |
The input matrix transformed with quantile normalization.
data(dataset_racle)
# mixture.quantile <- quantiseqr:::makeQN(dataset_racle$expr_mat)
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