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Table 3 Compares the results of different DC configurations across different sample sizes (FDR < 0.05, G 500500 ) in simulation tests

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

  1. Compares DCT+R+NB with three single-attribute DC configurations on simulated datasets of various sample sizes at FDR < 0.05 and G 500500 . Each cell shows the average number of true DEFs detected by a DC configuration under a sample size indicated by the column header. The numbers in parentheses are the paired t-test p-values indicating how significant DCT+R+NB outperformed the corresponding single-attribute DC configurations under the same simulation test settings. DCR detected no DEFs when N < 16.