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Figure 6 | BMC Bioinformatics

Figure 6

From: A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods

Figure 6

Comparison of combinations of summarization/DE detection methods at low false positive rates. ROC charts of Golden Spike data using a 1-sided test of DE, using different combinations of summarization and DE detection methods, and showing only false positive rates between 0 and 0.04, and false negative rates between 0.5 and 0.9. For these charts only the equal spike-ins are used as true negatives, and all spike-ins with FC > 1 are used as true positives. A post-summarization loess normalization based on the equal-valued spike-ins was used. The legend is the same as in Figure 5.

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