Table 1

Result summary for task 2a. The table shows the percentages of evaluated evidences organized by precision categories for proteins (rows) versus precision categories of GO-terms (columns). The label corresponds to, high: correct prediction, general: not totally wrong prediction but too general to be really useful for protein annotation (for GO-terms) and that the specific protein is not there but a homologue from another organism or a reference to the protein family is contained (for Protein), low: means basically wrong. Total refers to the entity extraction (protein or GO-term) and None are not evaluated cases.

Entity evaluations

GO Low

GO General

GO High

GO None

Total

Protein High

221 (21.05%)

69 (6.57%)

303 (28.85%)

1 (0%)

594 (56.47%)

Protein General

47 (4.48%)

24 (2.28%)

112 (10.67%)

0 (0%)

183 (17.43%)

Protein Low

127 (12.10%)

43 (4.10%)

86 (8.19%)

0 (0%)

256 (24.39%)

Protein None

1 (0.10%)

0 (0%)

0 (0%)

17 (1.61%)

18 (1.71%)

Total

396 (37.73%)

136 (12.95%)

501 (47.71%)

17 (1.61%)

1050 (100%)

Krallinger et al. BMC Bioinformatics 2005 6(Suppl 1):S19   doi:10.1186/1471-2105-6-S1-S19