Fig. 2
From: Normalization and microbial differential abundance strategies depend upon data characteristics
Comparison of common distance metrics and normalization methods across library sizes. Clustering accuracy, or fraction of samples correctly clustered, is shown for all combinations of four common distance metrics (panels arranged from left to right) across two library depths (panels arranged from top to bottom; NL, median library size), six sample normalization methods (series within each panel), and several effect sizes (x-axis within panels). For all methods, samples below the 15th percentile of library size were dropped from the analysis to isolate the effects of rarefying. The x-axis (effect size) within each panel represents the multinomial mixing proportions of the two sample classes Ocean and Feces. A higher effect size represents an easier clustering task