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Fig. 1 | BMC Bioinformatics

Fig. 1

From: metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

Fig. 1

ROC curve and power of GAMLSS-BEZI vs. LMAS. a. ROC curve of GAMLSS-BEZI and LMAS for identifying species with differential abundance between case and control groups. b. Power of GAMLSS-BEZI vs. LMAS for different effect sizes of differential relative abundances between case and control groups. GAMLSS-BEZI: Generalized Additive Models for Location, Scale and Shape (GAMLSS) with a zero inflated beta (BEZI) family; LMAS: linear model with arcsin squareroot transformation (implemented in the software MaAsLin); ROC curve: Receiver operating characteristic curve; AUC: area under the curve

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BMC Bioinformatics

ISSN: 1471-2105

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