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Table 1 Results on Arabidopsis thaliana

From: An empirical analysis of training protocols for probabilistic gene finders

method

train

test

nucAcc

exonF

geneSn

GRAPE

CV

CV

95 ± 1%

82 ± 2%

49 ± 3%

GRAPE

CV

H

93 ± 1%

80 ± 2%

44 ± 3%

GRAPE

T

T

95%

86%

57%

GRAPE

T

H

94%

81%

48%

MLE

CV

CV

90 ± 1%

72 ± 2%

33 ± 4%

MLE

T

T

91%

75%

36%

MLE

T

H

90%

71%

33%

  1. GRAPE = GRadient Ascent Parameter Estimation, MLE = Maximum Likelihood Estimation only. CV=cross validation, T = training set, H = 1000-gene hold-out ("test") set. CV in the train column means training on 800 genes from T. CV in test column means testing on 200 genes from T. In rows with a CV in either column, numbers are averages from 5 runs. nucAcc = nucleotide accuracy, exonF = exon F score, geneSn = gene sensitivity. F = 2SnSp/(Sn+Sp) for Sn = sensitivity and Sp = specificity. CV averages are reported ± SD.