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Fig. 9 | BMC Bioinformatics

Fig. 9

From: Robust differential expression analysis by learning discriminant boundary in multi-dimensional space of statistical attributes

Fig. 9

The curves of the true positives vs. the target FDR using the SEQC/MAQC-III dataset. The x- and y- axes indicate the target FDR level and the average number of true positives, respectively. The solid curve with blue circle markers represents DCT+R+NB, and other curves represent non-DC methods. The result of a method at a particular target FDR is shown if (1) its true FDR does not exceed the target FDR by 10%; and (2) it detects on average ≥0.5 true DEFs (rounds up to 1)

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BMC Bioinformatics

ISSN: 1471-2105

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