|Comparison between gene set analysis methods in terms of sensitivity and pathway ranking when analyzing 143 KEGG non-metabolic pathways|
|p geometric mean||0.2846||0.1516||0.0585|
The table shows statistics computed from nominal and adjusted p-values, and ranks of the 24 target pathways only, including geometric mean, median and percentages of pathways significant at 0.05 level based on nominal and adjusted p-values (q-values). The results of comparing the ranks of each method against GSA method (chosen as reference), using a paired Wilcoxon test and a linear mixed-effects model, are included. The best value for each criterion is shown in bold.
Tarca et al.
Tarca et al. BMC Bioinformatics 2012 13:136 doi:10.1186/1471-2105-13-136