Skip to main content
. 2018 Nov 30;35(14):2371–2379. doi: 10.1093/bioinformatics/bty991

Table 4.

DeeReCT-PolyA with leave-one-motif-out test on the Dragon human dataset

Variants Size Error Rate (%)
5-fold cross-validation leave-one-motif-out
AATAAA 5190 11.81 14.20
ATTAAA 2400 9.00 8.17
AAAAAG 1250 5.77 5.45
AAGAAA 1230 7.76 7.52
TATAAA 880 7.69 7.18
AATACA 780 10.45 8.86
AGTAAA 690 9.55 7.46
ACTAAA 670 10.72 11.16
GATAAA 460 8.04 8.04
CATAAA 410 9.02 11.46
AATATA 410 8.78 8.54
AATAGA 370 4.59 4.05
Average 9.57 10.08

Note: For the leave-one-motif-out test, for each PAS variant, a DeeReCT-PolyA model was trained with data of all the other motif variants and then test only on this variant. Bold indicates the error rate of best model for each PAS variant.