Quantile normalization is a statistical technique used to make distributions of data across different samples identical in statistical properties. It’s particularly important in high-dimensional data analysis, ensuring that systematic biases across samples are minimized and that the data can be more accurately compared. This method aligns the quantiles of each sample's data distribution to a reference distribution, enabling meaningful comparisons in the context of complex biological systems.
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