Skip to main content
. 2014 Feb 13;15:127. doi: 10.1186/1471-2164-15-127

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

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

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.