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Table 2 Differential abundant analysis methods evaluated in this study

From: A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions

Method

Addressing compositional effects

Handling zeros

Model

Covariate/confounder adjustment

GMPR + Wilcox

GMPR

None

Wilcoxon rank-sum test

✗

TSS + Wilcox

Total sum scaling (TSS)

✗

Rarefy + Wilcox

Rarefaction (TSS equivalent)

✗

GMPR + DESeq2

Geometric mean of pairwise ratios (GMPR)

Model (overdispersion)

Negative binomial model

✓

GMPR + edgeR

GMPR

Model (overdispersion)

Negative binomial model

✓

Wrench + MSeq

Wrench

Model (zero inflation)

Zero-inflated log-normal model

✗

RAIDA

Reference

Model (zero inflation)

Zero-inflated log-normal model

✗

ANCOM-BC

Bias correction

Pseudo-count

Log-linear model

✓

DACOMP

Reference

None

Wilcoxon rank-sum test

✗

LDM

TSS

None

Linear model

✓

Omnibus

GMPR

Model (zero inflation)

Zero-inflated negative binomial model

✗

Aldex2(Wilcox)

Centered log-ratio transformation (CLR)

Bayes

Wilcoxon rank-sum test

✗

Aldex2(glm)

Generalized linear model (GLM)

✓

GMPR + glm

GMPR

Model (overdispersion)

GLM (quasi-Poisson)

✓

Corncob

TSS

Model (overdispersion)

Beta-binomial model

✓

MaAsLin2

TSS

Pseudo-count

Log-linear model

✓

eBay(Wilcox)

CLR

Empirical Bayes

Wilcoxon rank-sum test

✗

ZicoSeq

Reference

Empirical Bayes

Linear model

✓