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To further investigate microbial differences between the EMs and control groups, multiple statistical and machine learning methods were employed—including EdgR, DESeq2, zero-inflated negative binomial model (ZINB), negative binomial model (NEGBIN), compound Poisson lognormal model (CPLM), Random Forest, and linear discriminant analysis (LDA) effect size (LEfSe)