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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