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. 2013 Jun 19;29(13):i316–i325. doi: 10.1093/bioinformatics/btt218

Table 3.

Comparison of our method (HMM) with RF

Variants Size Error rate (%)
False-negative rate (%)
False-positive rate (%)
RF HMM Rel RF HMM Rel RF HMM Rel
AATAAA 5190 20.06 18.59 7.31 19.74 18.54 6.10 20.37 18.65 8.44
ATTAAA 2400 18.42 16.21 12.01 18.68 18.17 2.75 18.15 14.25 21.49
AAAAAG 1250 16.64 9.36 43.75 16.53 11.36 31.28 16.75 7.36 56.06
AAGAAA 1230 11.06 5.45 50.75 11.92 6.02 49.53 10.15 4.88 51.94
TATAAA 880 19.55 15.34 21.53 18.10 19.09 −5.47 20.87 11.59 44.46
AATACA 780 19.36 11.15 42.39 18.13 15.64 13.73 20.49 6.67 67.46
AGTAAA 690 27.83 16.96 39.07 25.24 20.00 20.76 29.92 13.91 53.50
ACTAAA 670 22.09 14.33 35.14 20.69 20.60 0.45 23.36 8.06 65.50
GATAAA 460 20.00 9.57 52.17 21.01 10.43 50.33 18.92 8.70 54.04
CATAAA 410 18.54 9.27 50.01 16.92 14.63 13.51 20.00 3.90 80.49
AATATA 410 24.88 12.68 49.02 24.12 20.49 15.06 25.59 4.88 80.94
AATAGA 370 18.38 5.14 72.06 19.37 6.49 66.51 17.32 3.78 78.15
Average 19.19 14.42 25.62 18.83 16.26 14.81 19.48 12.59 35.40

Note: The performance of both RF and HMM is evaluated on the same 5-fold cross-validation. ‘Rel’ denotes the relative improvement of HMM with respect to RF. The lowest value for each criterion of each motif variant is indicated in bold.