Skip to main content
Fig. 6 | BMC Bioinformatics

Fig. 6

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

Fig. 6

The curves of the true FDR vs. the number of detected DEFs in a typical simulation test (6 vs. 6; G 500500 ). The x- and y- axes indicate the number of detected DEFs and the average true FDR, respectively. The curve of DCT+R+NB (solid curve with blue circle markers) in this figure were converted from the results obtained by setting the target FDR between 0.01 and 0.1 with an increasing step of 0.01. The curves of other methods were obtained by letting them call the same number of DEFs detected by DCT+R+NB at each target FDR

Back to article page