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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 %

	M_p1^a	M_p2^b	B	m	E₁^c	E₂^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

^aM_p1, the maximal precision estimate derived from the ratio of non-zero precision cases to total in the highest precision sample. ^bM_p2, the maximal precision estimate derived from the highest precision UniProt-UniProt sequence matches. ^cE₁, the annotation error estimate based on M_p1. ^dE₂, the annotation error estimate based on M_p2.
Jones et al. BMC Bioinformatics 2007 8:170 doi:10.1186/1471-2105-8-170

Table 1