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Table 8 Results of the human and mouse case study

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

Test data set    
Model GRCh37 GRCh38 GRCm38
Radial using GRCh37, GRCm38 and first ORF
  Sensitivity 9 8 . 8 6 % 9 9 . 4 2 % 98.51%
  Specificity 97.56% 9 7 . 6 9 % 97.54%
  Accuracy 9 8 . 2 1 % 9 8 . 5 5 % 98.02%
Radial using GRCh37, GRCm38 and longest ORF
  Sensitivity 98.05% 98.67% 97.60%
  Specificity 97.53% 97.59% 97.54%
  Accuracy 97.79% 98.13% 97.57%
Radial using GRCh38, GRCm38 and first ORF
  Sensitivity 91.22% 99.24% 9 8 . 6 6 %
  Specificity 9 8 , 6 5 % 97.46% 97.41%
  Accuracy 94.93% 98.35% 9 8 . 0 3 %
Radial using GRCh38, GRCm38 and longest ORF
  Sensitivity 98.31% 98.20% 98.23%
  Specificity 97.83% 97.63% 9 7 . 7 4 %
  Accuracy 98.07% 97.91% 97.98%
  1. We trained four models with two data sets, GRCh37/GRCm38 and GRCh38/GRCm38, and also compared the selection of two attributes, first and longest ORF relative lengths. The best results for each test data set, GRCh37, GRCh38 and GRCm38, are in bold