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. 2011 Mar 17;27(10):1444–1446. doi: 10.1093/bioinformatics/btr142

Table 1.

GO-Module applied to lists of prioritized GO termsa

Retained features (#K/#GO) (%) Input
Output
Journal (author year)
#GO #K #T #F
53 15b 8 2 5 Oncogene (Yamaguchi et al., 2010)
63 24 15 4 5 Nature (Burke et al., 2010)
28 162 46 63 53 Nature (Heinig et al., 2010)
57 65b 37 8 20 Cell (Smukalla et al., 2008)
41 189b 76 47 64 Cell (Smukalla et al., 2008)
50 16 8 2 6 N. Engl. J. Med. (Marcucci et al., 2008)
45 20 9 0 11 Genome Res. (Swanson-Wagner et al. 2010)
91 23 21 2 0 Genome Res. (Mortazavi et al. 2010)
86 35b 30 2 3 Genome Res. (Somel et al. 2010)
90 21b 19 1 1 Genome Res. (Vinuela et al. 2010)
70 30 21 2 7 Genome Res. (Atanur et al. 2010)
46 13 6 2 5 Genome Res. (Hoffman et al. 2010)
40 20b 8 6 2 Genome Res. (Hoffman et al. 2010)
44 9 4 3 2 Genome Res. (Hoffman et al. 2010)
50 10 5 1 4 Genome Res. (Hoffman et al. 2010)
50 10 5 0 5 Genome Res. (Liu et al. 2010)

aTwelve scientific papers (16 GO lists) were selected in the following way: the first five were prioritized by a Google search for ‘significant GO terms’ and each of four renowned journal names and the remaining seven were sequentially found in the journal Genome Research by manually searching from 12/2010 back to 5/2010 for GO lists containing more than eight prioritized terms.

bOnly the reported terms with trackable official GO IDs using AmiGO (Ashburner et al., 2000) version 1.7 were used as the input for GO-Module.