CBEA: Competitive balances for taxonomic enrichment analysis
Fig 3
Random sample label (A) and random set (B) analyses for population level inference. (A) Type I error (x-axis) was estimated as the overall fraction of sets found to be enriched α = 0.05 using randomly generated sample labels (500 permutations). Error bars represent the mean type I error ± sample standard error. (B) Proportion of significant sets (y-axis) using 100 randomly generated sets of different set sizes (x-axis). Confidence intervals computed using Agresti-Couli method for binomial proportions. For sample label permutation (A), all CBEA approaches were able to control for type I error but not for corncob and DESeq2. For random set analyses (B), all approaches demonstrated similar rates of accepting significant sets and were invariant to overall set size.