Table 9 |
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|
Performance on the gene normalization task by the top 4 performing teams in the BioCreative III competition |
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|
Teams |
Gold standard (50 selected articles) |
Silver standard (50 selected articles) |
Silver standard (All 507 articles) |
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|
|
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|
TAP-5 |
TAP-10 |
TAP-20 |
TAP-5 |
TAP-10 |
TAP-20 |
TAP-5 |
TAP-10 |
TAP-20 |
||
|
|
||||||||||
|
Kuo et al. (Team 74) |
1st run |
0.2137 |
0.2509 |
0.2509 |
0.3820 |
0.3820 |
0.3820 |
0.4873 |
0.4873 |
0.4873 |
|
2nd run |
0.2083 |
0.2480 |
0.2480 |
0.3855 |
0.3855 |
0.3855 |
0.4871 |
0.4871 |
0.4871 |
|
|
3rd run |
0.2099 |
0.2495 |
0.2495 |
0.3890 |
0.3890 |
0.3890 |
0.4916 |
0.4916 |
0.4916 |
|
|
|
||||||||||
|
Our method (Team 83) |
1st run |
0.3254 |
0.3538 |
0.3535 |
0.3567 |
0.3600 |
0.3600 |
0.4591 |
0.4591 |
0.4591 |
|
2nd run |
0.3216 |
0.3435 |
0.3435 |
0.3291 |
0.3291 |
0.3291 |
0.4323 |
0.4323 |
0.4323 |
|
|
3rd run |
0.3297 |
0.3514 |
0.3514 |
0.3382 |
0.3382 |
0.3382 |
0.4327 |
0.4327 |
0.4327 |
|
|
|
||||||||||
|
Liu et al. (Team 98) |
1st run |
0.2835 |
0.3012 |
0.3103 |
0.3343 |
0.3535 |
0.3629 |
0.3818 |
0.3899 |
0.3875 |
|
2nd run |
0.2909 |
0.3079 |
0.3087 |
0.3354 |
0.3543 |
0.3634 |
0.3790 |
0.3878 |
0.3868 |
|
|
3rd run |
0.3013 |
0.3183 |
0.3303 |
0.3710 |
0.4116 |
0.4672 |
0.4086 |
0.4511 |
0.4648 |
|
|
|
||||||||||
|
Lai et al. (Team 101) |
1st run |
0.1896 |
0.2288 |
0.2385 |
0.3590 |
0.3859 |
0.3859 |
0.4289 |
0.4289 |
0.4289 |
|
2nd run |
0.1672 |
0.2150 |
0.2418 |
0.3239 |
0.3945 |
0.4132 |
0.4294 |
0.4408 |
0.4408 |
|
|
3rd run |
0.1812 |
0.2141 |
0.2425 |
0.3258 |
0.4109 |
0.4109 |
0.4536 |
0.4536 |
0.4536 |
|
|
|
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|
Wei and Kao BMC Bioinformatics 2011 12(Suppl 8):S5 doi:10.1186/1471-2105-12-S8-S5 |
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