Table 1.
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.