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. 2018 Apr 20;19:274. doi: 10.1186/s12864-018-4637-6

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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — True positive rate analysis for group size 10+10. True positive rate at a fixed false positive rate of 0.01 (y-axis) for nine normalization methods and three metagenomic datasets (x-axis). The results were based on resampled data consisting of two groups with 10 samples in each, 10% DAGs with an average fold-change of 3. The DAGs were added in (a) equal proportion between the groups (‘balanced’) and in (b) in only one of the groups (’unbalanced’). The following methods are included in the figure: trimmed mean of M-values (TMM), relative log expression (RLE), cumulative sum scaling (CSS), reversed cumulative sum scaling (RCSS), quantile-quantile (Quant), upper quartile (UQ), median (Med), total count (TC) and rarefying (Rare)