This function performs YuGene normalization on an ExpressionSet. YuGene is a non-parametric normalization method that transforms expression data to a uniform distribution by computing cumulative proportions and applying a specific transformation.
Examples
# Load example data and create ExpressionSet
expr_data <- load_example_expression_data()
meta_data <- load_example_metadata()
eset <- make_ExpressionSet(expr_data, meta_data)
#> ✓ ExpressionSet created successfully
#> - Number of genes: 57010
#> - Number of samples: 24
# Perform YuGene normalization
yugene_eset <- YuGene(eset, verbose = TRUE)
#> ✓ YuGene normalization completed