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Table 3 A: DBN results for the RNA-Seq data set. B: SVM results for the RNA-Seq data set

From: Comparing biological information contained in mRNA and non-coding RNAs for classification of lung cancer patients

A.
   DBN DBN and SVM
Model Architecture A % TPR % TNR % A % TPR % TNR %
DBN + Bprop A-500-250-100-1 95.48±0.25 98.06±0.40 92.90±0.36 94.13±0.27 97.58±0.27 91.94±0.34
DBN + Bprop A-100-1 95.65±0.13 97.90±0.25 93.39±0.16 94.19±0.11 95.16±0.50 93.23±0.22
DBN + Rprop A-5-10-1 95.73±0.17 98.39±0.50 93.06±0.34 95.89±0.08 98.39±0.50 93.39±0.16
DBN + Rprop A-50-1 95.16±0.50 98.39±0.50 91.94±0.50 95.97±0.50 98.39±0.50 93.55±0.50
Task: AC vs N; non-coding, A=3124
DBN + Bprop A-2000-1000-500-1 96.77±0.50 100±0.50 93.55±0.50 95.16±0.50 96.94±0.16 93.39±0.16
DBN + Bprop A-100-1 95.97±0.50 100±0.50 91.94±0.50 95.48±0.13 97.42±0.26 93.55±0.50
DBN + Rprop A-5-10-1 96.05±0.22 98.39±0.50 93.71±0.45 96.45±0.13 98.06±0.22 94.84±0.22
DBN + Rprop A-50-1 94.35±0.50 100±0.50 88.71±0.50 95.48±0.13 98.39±0.50 92.58±0.26
B.
   Radial Linear
Data Features A % TPR % TNR % A % TPR % TNR %
Protein-coding 12360 93.66±0.81 92.66±0.87 94.66±0.91 93.00±0.89 90.00±0.89 96.00±0.85
Non-coding 3124 91.41±0.97 88.00±0.99 94.83±0.56 93.91±0.89 90.50±0.73 97.33±0.72
  1. The best results are shown in bold