Table 1

Maximal precision estimates, regression coefficients and annotation error rate estimates by experiment type.

Experiment type

Maximal precision estimates

Regression coefficients

Annotation Error Estimates %


Mp1a

Mp2b

B

m

E1c

E2d


Non-ISS annotation error

Cross-validation group 1

0.882

0.841

0.760

-0.710

17

11

Cross-validation group 2

0.880

0.849

0.756

-0.703

18

13

Cross-validation group 3

0.885

0.845

0.767

-0.712

17

11

Cross-validation group 4

0.882

0.855

0.757

-0.704

18

14

Cross-validation group 5

0.886

0.836

0.757

-0.699

19

11

Cross-validation group 6

0.876

0.850

0.749

-0.698

18

15

Cross-validation group 7

0.891

0.867

0.768

-0.717

17

14

Cross-validation group 8

0.884

0.864

0.758

-0.709

18

15

Cross-validation group 9

0.885

0.873

0.760

-0.710

18

16

Cross-validation group 10

0.873

0.833

0.748

-0.697

18

12

ISS annotation error

0.442

0.443

0.305

-0.282

49

49


a Mp1, the maximal precision estimate derived from the ratio of non-zero precision cases to total in the highest precision sample.

b Mp2, the maximal precision estimate derived from the highest precision UniProt-UniProt sequence matches.

c E1, the annotation error estimate based on Mp1.

d E2, the annotation error estimate based on Mp2.

Jones et al. BMC Bioinformatics 2007 8:170   doi:10.1186/1471-2105-8-170

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