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Table 3 Results for Dataset 3–38 using eight methods

From: A weighted average difference method for detecting differentially expressed genes from microarray data

Method Average AUC (%) No. of datasets best performed
WAD 96.737 12
AD 94.758 1
FC 94.659 4
RP 93.182 2
modT 95.541 1
samT 95.866 7
shrinkT 95.439 4
ibmT 96.060 5
  1. Analyses of Datasets 3–26 and Datasets 27–38 were performed using MAS- and RMA-preprocessed data, respectively, following the choice of preprocessing algorithm in the original papers. Accordingly, the average AUC value was calculated from those for Datasets 3–26 (MAS) and Datasets 27–38 (RMA). The best performing methods for each dataset is given in the additional file [see Additional file 1].