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Table 5 Comparison of feature selection methods on two data setsa

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

Methods Feature # GSE22220 GSE40525
   Sensitivity Specificity TA Sensitivity Specificity TA
CFS 29/6 0.984 0.744 0.783 0.942 0.925 0.933
BFS 4/3 0.953 0.733 0.758 0.904 0.904 0.904
χ 2 2 0.976 0.701 0.729 0.923 0.906 0.913
  3 0.913 0.753 0.763 0.923 0.923 0.923
  4 0.945 0.764 0.787 0.923 0.923 0.923
Consistency 13/5 0.953 0.771 0.797 0.942 0.925 0.933
IG 2 0.976 0.701 0.729 0.827 0.896 0.865
  3 0.913 0.753 0.763 0.942 0.925 0.933
  4 0.945 0.764 0.787 0.923 0.906 0.913
RF 2 0.976 0.701 0.729 0.923 0.906 0.913
  3 0.913 0.734 0.744 0.942 0.891 0.913
  4 0.953 0.747 0.773 0.942 0.907 0.923
t-test 2 0.913 0.753 0.763 0.923 0.906 0.913
  3 0.890 0.807 0.802 0.923 0.889 0.904
  4 0.890 0.837 0.826 0.942 0.891 0.913
Wilcon test 2 0.913 0.753 0.763 0.923 0.906 0.913
  3 0.890 0.807 0.802 0.942 0.891 0.913
  4 0.937 0.793 0.812 0.942 0.925 0.933
CluFDAb 2 0.969 0.750 0.783 0.923 0.923 0.923
  3 0.976 0.775 0.812 0.942 0.925 0.933
  4 0.906 0.833 0.831 0.962 0.943 0.952
  1. aThe numbers before and after ‘/’ denotes feature numbers of GSE22220 and GSE40525, respectively Sensitivity = TP/(TP+FN), Specificity = TN/(FP+TN) TA: total accuracy
  2. bCluFDA denotes the clustering-based feature selection using FDA method for selecting representative miRNAs