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Table 1 Maximal precision estimates, regression coefficients and annotation error rate estimates by experiment type.

From: Estimating the annotation error rate of curated GO database sequence annotations

Experiment type Maximal precision estimates Regression coefficients Annotation Error Estimates %
  M p1 a M p2 b B m E 1 c E 2 d
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
  1. a Mp1, the maximal precision estimate derived from the ratio of non-zero precision cases to total in the highest precision sample.
  2. b Mp2, the maximal precision estimate derived from the highest precision UniProt-UniProt sequence matches.
  3. c E1, the annotation error estimate based on Mp1.
  4. d E2, the annotation error estimate based on Mp2.