Performance of FDR methods on filtered microbiome data.

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Performance of FDR methods on filtered microbiome data. Performance of FDR methods on filtered microbiome data. (a) Number of differentially abundant taxa detected as a function of the taxon filtering level based on the CFS data set. Results for the DS, FBH, and BH procedures using an FDR threshold of 0.1 are shown by red, orange, and blue lines, respectively. (b) Number of differentially abundant taxa detected as a function of the taxon filtering level based on the MLT data set. Results for the DS, FBH, and BH procedures using an FDR threshold of 0.1 are shown by red, orange, and blue lines, respectively. (c) Expanded view of panel a for a filtering level of 0 to 100 on the CFS data set. (d) Expanded view of panel b for a filtering level of 0 to 100 on the MLT data set. (e) Heatmap displaying the additional taxa detected with DS-FDR (filtering threshold of 5) compared to FBH in CFS data. CFS data for healthy controls and patients are shown. Each row represents a unique taxon, and each column depicts a sample, with colors showing the relative abundance. Taxa are sorted according to the value of the statistic used (mean rank difference). (f) Same as panel e but for the MLT data. MLT data for the TL5 knockout mice and wild-type mice are shown. Lingjing Jiang et al. mSystems 2017; doi:10.1128/mSystems.00092-17