Detecting and mitigating doppelgänger bias in microbiome data: impacts on machine learning and disease classification.

The Wilcoxon rank-sum test revealed highly significant differences between the distributions of between-class and within-class correlations ( p = 5.36 × 10 −4 ), confirming that samples from the same disease state exhibit systematically higher correlations than samples from different disease states.

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