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Table 11 Comparison of all the results for each species, together with their corresponding performances

From: A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts

Test data set        
Model GRCh37 GRCh38 GRCm38 Rnor6.0 Sscrofa10.2 GRCz10 BDGP6
Radial using GRCh37 and first ORF  
  Sensitivity 9 8 . 9 5 % 9 9 . 4 3 % 9 8 . 7 2 % 94.16% 78.89% 95.19% 93.17%
  Specificity 97.41% 97.23% 97.04% 94.90% 89.28% 95.23% 99.78%
  Accuracy 98.18% 98.33% 97.88% 94.53% 84.08% 95.21% 96.47%
Radial using GRCh38 and first ORF  
  Sensitivity 89.86% 97.54% 90.07% 78.13% 55.28% 74.68% 80.87%
  Specificity 9 8 . 6 4 % 9 9 . 2 6 % 98.51% 9 7 . 8 9 % 95.93% 98.45% 99.91%
  Accuracy 94.25% 98.40% 94.29% 88.01% 75.60% 86.56% 88.67%
Radial using GRCm38 and first ORF  
  Sensitivity 98.50% 98.90% 98.70% 93.85% 7 9 . 4 0 % 95.14% 94.31%
  Specificity 97.09% 96.93% 96.96% 94.91% 8 9 . 4 3 % 94.70% 99.96%
  Accuracy 97.79% 97.91% 97.83% 94.38% 8 4 . 4 1 % 94.92% 96.97%
Radial using GRCh37, GRCm38 and first ORF  
  Sensitivity 98.86% 99.42% 98.51% 93.11% 76.38% 94.62% 91.30%
  Specificity 97.56% 97.69% 9 7 . 5 4 % 95.39% 89.94% 95.63% 99.76%
  Accuracy 9 8 . 2 1 % 9 8 . 5 5 % 98.02% 94.25% 83.16% 95.12% 95.53%
Radial using GRCh38, GRCm38 and first ORF  
  Sensitivity 91.22% 99.24% 98.66% 81.00% 55.28% 77.17% 74.95%
  Specificity 98.65% 97.46% 97.41% 97.81% 95.85% 9 8 . 7 4 % 9 9 . 9 2 %
  Accuracy 94.93% 98.35% 9 8 . 0 3 % 89.40% 75.56% 87.95% 87.43%
Radial using GRCm38, GRCz10 and first ORF  
  Sensitivity 98.71% 99.10% 98.56% 9 4 . 6 4 % 75.89% 9 7 . 1 9 % 9 8 . 5 7 %
  Specificity 96.89% 96.72% 96.86% 94.69% 89.87% 95.00% 99.65%
  Accuracy 97.80% 97.91% 97.71% 9 4 . 6 7 % 82.88% 9 6 . 0 9 % 9 9 . 1 1 %
  1. The best results for each species are in bold. In the columns are the test data set: human GRCh37 and GRCh38; mouse GRCm38; rat Rnor6.0; pig Sscrofa10.2; zebrafish GRCz10; and fruitfly BDGP6