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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.