Skip to main content

Table 1 SVM based highest prediction performances (on the basis of MCC) of different composition approaches for the discrimination between non-coding and coding RNAs

From: Prediction and classification of ncRNAs using structural information

Approach Main dataset Independent dataset CONC dataset
  SN SP ACC MCC SN SP ACC MCC SN SP ACC MCC
MNC 56.67 87.13 75.08 0.47 63.95 81.15 74.34 0.46 50.19 90.48 77.48 0.46
DNC 97.13 94.27 95.40 0.91 95.93 95.08 95.42 0.91 81.54 91.15 88.04 0.73
TNC 98.90 99.04 98.98 0.98 98.65 98.79 98.74 0.97 86.33 95.39 92.47 0.83
TTNC 99.50 99.35 99.41 0.99 99.29 99.05 99.15 0.98 89.51 94.98 93.22 0.85
PNC 98.62 98.55 98.58 0.97 98.78 98.29 98.49 0.97 88.43 95.64 93.31 0.85
Hybrid 99.46 99.46 99.46 0.99 99.11 99.18 99.15 0.98 89.10 96.29 93.97 0.86
  1. The MNC, DNA, TNC, TTNC and PNC approaches are mono-, di-, tri-, tetra- and penta-nucleotide compositions respectively. Hybrid is a combined approach based prediction of all predicated SVM scores of MNC, DNC, TNC, TTNC and PNC approaches.