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Table 3 Application of GSEA to the different RMA and fRMA pre-processing and data merging methods

From: Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression

Gene set RMA CB RMA ZS RMA fRMA
  ES p-value ES p-value ES p-value ES p-value
EGF pathway -0.4229 0.1285 -0.4542 0.0923 -0.4127 -0.3109 -0.3731 0.3145
Stathmin pathway -0.4307 0.4712 -0.4281 0.5079 -0.2711 -0.6063 -0.2844 0.9051
Homologous recombination 0.6766 0.0082 0.6956 0.0073 0.6962 0.0019 0.3378 0.5750
BRCA1 pathway 0.2974 0.0278 0.3017 0.0403 0.2982 0.1353 -0.1768 0.8875
HER2 pathway 0.3388 0.5658 0.3475 0.5507 0.4504 0.0730 -0.3795 0.4612