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Table 3 Rank and Pearson correlations for each method's results between the split parts of the dataset

From: Robust extraction of functional signals from gene set analysis using a generalized threshold free scoring function

  1st split 2nd split 3rd split 4th split
method Rank Pearson rank Pearson rank Pearson rank Pearson
GSZ-score 0.6878 0.8427 0.7021 0.8463 0.7051 0.8521 0.6867 0.8194
t-test 0.6236 0.7291 0.686 0.7715 0.6932 0.7763 0.7404 0.7996
KS test 0.5402 0.585 0.5768 0.6197 0.5824 0.6282 0.5845 0.6145
modKS 0.6183 0.6397 0.6443 0.6658 0.6343 0.6554 0.6952 0.7083
iGA 0.6134 0.7261 0.6424 0.7401 0.6358 0.7562 0.6239 0.7243
  1. Rank and Pearson correlation between the results from two halves of the dataset for each method (case i). The best result is highlighted with bold font and the second best is underlined. Notice that GSZ-score has the highest correlation with both correlation measures. t-test shows the second best performance. The only deviation is the 4th split where t-test shows the best rank correlation, although even in that case GSZ-score still shows the best Pearson correlation.