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. 2019 Jul 2;20:539. doi: 10.1186/s12864-019-5926-4

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© The Author(s). 2019

Open AccessThis 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. 3 — Performance of lncDIFF, zinbwave+DESeq2, DEsingle and ShrinkBayes on TCGA HNSC matched tumor-normal samples. (A) Venn diagram for DE genes identified by each method. (B) TPR and FPR for each method based on surrogate DE gene sets SS1-SS3 defined by log2 fold change > 0.5, 1.0, 1.5. (C)-(E) Boxplots for tumor vs. normal log2 RPKM of genes detected as positive by one method and negative by another