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Table 2 Rank correlations for each method with a gold standard obtained from the other half 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

1st half

2nd half

1st half

2nd half

1st half

2nd half

1st half

2nd half

GSZ-score

0.6201

0.6219

0.6421

0.6451

0.6594

0.6368

0.6176

0.653

t-test

0.5373

0.5276

0.5691

0.5748

0.5722

0.5827

0.6190

0.5727

KS test

0.4470

0.5089

0.4981

0.5140

0.5340

0.5054

0.4928

0.5388

modKS

0.5048

0.5772

0.5339

0.6035

0.5957

0.5336

0.5756

0.5873

iGA

0.5809

0.5888

0.6110

0.6133

0.6191

0.6148

0.5976

0.6185

  1. Table shows rank correlation between the results for each half of a dataset with the gold standard ranking, obtained with all the methods from the other half (case ii evaluation). Various results are highlighted similarly to previous table. Two results for each split are obtained by testing the first half with a gold standard from the second half and testing the second half with a gold standard from the first half. Notice that GSZ-score clearly shows the best correlation. iGA is usually the second best method. The only exception is the first half of the 4th split, where t-test shows the best performance and GSZ-score scores as the close second best method.