A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods-5

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.<p><b>Copyright information:</b></p><p>Taken from "A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods"</p><p>http://www.biomedcentral.com/1471-2105/9/164</p><p>BMC Bioinformatics 2008;9():164-164.</p><p>Published online 26 Mar 2008</p><p>PMCID:PMC2324099.</p><p>