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Table 2 Differently expressed genes in the datasets

From: Classification of microarrays; synergistic effects between normalization, gene selection and machine learning

Data set (D)

No. significant genes

Significance threshold

Alizadeh

787

6.40e-06

Finak

2145

1.49e-06

Galland

209

1.24e-06

Herschkowitz

324

2.54e-06

Jones

6282

1.24e-06

Sørlie

0

6.22e-06

Ye

47

5.61e-06

  1. Number of significant genes in each data set and the corresponding significance thresholds. The t-test was used to compute p-values for each gene and the Bonferroni correction was used to judge significance (i.e. significance threshold at 0.05 divided by the number of genes).