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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].