Table 2 |
|||||
|
Accuracies of BLAST-based automated GO term predictors |
|||||
|
Method |
Precision |
Recall |
Harmonic Mean |
Mean Term Assignments |
N |
|
|
|||||
|
Best BLAST |
0.41 |
0.56 |
0.48 |
3.9 |
4710 |
|
Covering Graph |
|||||
|
Ten highest scoring terms |
0.20 |
0.48 |
0.28 |
7.7 |
4710 |
|
Terms with >0.1 normalised concordance |
0.19 |
0.61 |
0.29 |
16.1 |
4710 |
|
Terms with >0.1 and <0.2 normalised concordance |
0.09 |
0.10 |
0.09 |
2.7 |
4710 |
|
Terms with >0.1 and <0.9 normalised concordance |
0.11 |
0.29 |
0.16 |
7.0 |
4710 |
|
Term Covariance Filter selection |
0.24 |
0.35 |
0.28 |
3.4 |
4710 |
|
Term Distance Concordance |
|||||
|
Ten highest scoring terms |
0.33 |
0.63 |
0.43 |
6.3 |
4710 |
|
Term Covariance Filter selection |
0.36 |
0.51 |
0.42 |
3.9 |
4710 |
|
Discriminant Function |
|||||
|
Training set (post hoc) |
0.70 |
0.59 |
0.64 |
2.4 |
2070 |
|
Test set (apriori) |
0.61 |
0.51 |
0.55 |
2.0 |
10689 |
|
|
|||||
|
Jones et al. BMC Bioinformatics 2005 6:272 doi:10.1186/1471-2105-6-272 |
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