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Table 8 Accuracies of different feature subsetsa

From: A clustering-based approach for efficient identification of microRNA combinatorial biomarkers

Feature subset Accuracy measure GSE22220 GSE40525
   T-test FDA SNR Center T-test FDA SNR Center
Alla Sensitivity 0.874 0.882 0.921 0.906 0.962 0.962 0.962 0.942
  Specificity 0.804 0.794 0.770 0.762 0.806 0.781 0.806 0.817
  TA 0.792 0.787 0.783 0.768 0.865 0.846 0.865 0.865
Pair Sensitivity 0.969 0.969 0.929 0.984 0.923 0.923 0.885 0.846
  Specificity 0.750 0.750 0.756 0.714 0.923 0.923 0.920 0.917
  TA 0.783 0.783 0.773 0.749 0.923 0.923 0.904 0.885
Triple Sensitivity 0.976 0.976 0.850 0.984 0.942 0.942 0.942 0.904
  Specificity 0.775 0.775 0.812 0.714 0.925 0.925 0.925 0.922
  TA 0.812 0.812 0.787 0.749 0.933 0.933 0.933 0.913
Quadruple Sensitivity 0.906 0.906 0.906 0.890 0.942 0.942 0.887 0.923
  Specificity 0.833 0.833 0.821 0.819 0.961 0.961 0.940 0.960
  TA 0.831 0.831 0.821 0.812 0.952 0.952 0.915 0.942
  1. aAll: the full set of representative miRNAs selected from clusters Sensitivity = TP/(TP+FN), Specificity = TN/(FP+TN) TA: total accuracy