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. 2022 Apr 23;23(3):bbac143. doi: 10.1093/bib/bbac143

Table 1.

Comparative studies evaluating differences across enrichment methods

No. Review Methods tested Datasets Database (# of gene sets/pathways) Types of evaluated methods
1 [13] 7 36 KEGG (116) Topology- and non-topology-based methods
2 [2] 10 75 KEGG (323) and GO (4631) ORA and FCS methods
3 [3] 7 118 KEGG (232) Topology-based methods
4 [14] 6 20 KEGG (86) Topology- and non-topology-based methods
5 [15] 9 3 KEGG (114) Topology-based methods
6 [16] 13 6 GO gene set collection extracted from MSigDB [17] v6.1 (5917) Widely used pathway enrichment methods
7 [18] 8 3 MSigDB v5.0 (10,295) Widely used pathway enrichment methods
8 [9] 10 86 KEGG; 150 pathways for all methods except 130 for PathNet [19] and 186 for CePa [20, 21] Topology- and non-topology-based methods
9 [22] 11 1 C2 collection from MSigDB v4.0 (4722) Methods differing based on null hypothesis
10 [23] 16 42 KEGG (259) and Metacore™ (88) ORA and FCS methods
11 [24] 5 6 KEGG (192) ORA and FCS methods
12 [25] 7 38 KEGG (189) ORA and FCS methods

In the third column, we report the number of enrichment methods compared in each study (see Supplementary Tables 2 and 3, available online at https://academic.oup.com/bib, for details on the methods tested). Here, we would like to note that we differentiate between methods and tools/web applications based on Geistlinger et al. [2]. In the fourth column, we report the number of datasets each study performed comparisons on, all of which were experimental datasets except in [3, 13, 14, 18, 22], which included both experimental and simulated datasets. Finally, the fifth column reports the pathway databases used in each study while the number of pathways is shown between parentheses.