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Table 3 The FS methods sorted by the AUC metric achieved in validation test for each cancer disease using the RF classifier

From: Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

  FS methods 5-CV Hold-out Validation
   AUC TNR TPR AUC TNR TPR
 BREAST m AP -KL 0.80 (0.11) 0.79 (0.16) 0.73 (0.18) 0.87 1.00 0.50
  maxT(200) 0.85 (0.11) 0.83 (0.13) 0.69 (0.17) 0.83 0.71 0.83
  PLS-CV 0.91 (0.08) 0.85 (0.13) 0.77 (0.15) 0.82 0.86 0.42
  RF-MDA 0.91 (0.07) 0.91 (0.11) 0.70 (0.16) 0.82 0.86 0.75
  maxT 0.87 (0.10) 0.84 (0.13) 0.74 (0.18) 0.77 0.71 0.58
  SAM 0.82 (0.11) 0.79 (0.15) 0.69 (0.19) 0.77 0.71 0.75
  SNR 0.86 (0.10) 0.85 (0.14) 0.72 (0.20) 0.77 0.71 0.67
  BGA-COA 0.83 (0.10) 0.79 (0.15) 0.67 (0.15) 0.76 0.57 0.58
  HykGene 0.91 (0.06) 0.86 (0.12) 0.76 (0.17) 0.76 0.71 0.75
  Rnd 0.79 (0.01) 0.76 (0.03) 0.65 (0.03) 0.76 0.70 0.78
  cat 0.91 (0.07) 0.86 (0.12) 0.78 (0.16) 0.75 0.71 0.50
  PCA 0.72 (0.14) 0.66 (0.18) 0.56 (0.19) 0.75 0.43 0.67
  ODP 0.83 (0.10) 0.80 (0.14) 0.69 (0.18) 0.74 0.71 0.58
  t-test 0.82 (0.10) 0.81 (0.14) 0.69 (0.19) 0.73 0.71 0.58
  eBayes - - - - - -
COLON m AP -KL 0.99 (0.03) 0.95 (0.12) 0.97 (0.09) 0.89 0.71 0.84
  BGA-COA 0.98 (0.06) 0.89 (0.22) 0.87 (0.19) 0.87 0.71 0.80
  Rnd 0.98 (0.02) 0.90 (0.06) 0.90 (0.03) 0.84 0.73 0.82
  maxT(200) 1.00 (0.00) 0.94 (0.13) 0.94 (0.13) 0.83 0.71 0.88
  PCA 0.79 (0.19) 0.80 (0.23) 0.72 (0.26) 0.83 0.43 0.84
  ODP 0.99 (0.03) 0.97 (0.13) 0.93 (0.13) 0.82 0.71 0.80
  HykGene 0.98 (0.06) 0.93 (0.14) 0.95 (0.12) 0.81 0.71 0.88
  RF-MDA 0.99 (0.03) 0.96 (0.11) 0.93 (0.13) 0.81 0.71 0.80
  eBayes 0.99 (0.03) 0.97 (0.11) 0.93 (0.13) 0.80 0.71 0.80
  SAM 1.00 (0.02) 0.99 (0.09) 0.93 (0.13) 0.80 0.71 0.80
  cat 0.99 (0.04) 0.97 (0.14) 0.93 (0.13) 0.80 0.57 0.80
  maxT 1.00 (0.02) 0.97 (0.10) 0.94 (0.13) 0.79 0.71 0.80
  PLS-CV 1.00 (0.02) 0.94 (0.16) 0.94 (0.13) 0.79 0.71 0.80
  SNR 0.99 (0.03) 1.00 (0.00) 0.93 (0.13) 0.79 0.71 0.80
  t-test 0.99 (0.03) 0.99 (0.05) 0.93 (0.13) 0.79 0.71 0.80
LEUKEMIA BGA-COA 0.99 (0.04) 1.00 (0.00) 0.81 (0.27) 1.00 1.00 0.86
  maxT(200) 1.00 (0.00) 1.00 (0.00) 1.00 (0.00) 1.00 1.00 0.86
  eBayes 1.00 (0.00) 1.00 (0.00) 0.91 (0.19) 1.00 0.95 0.93
  RF-MDA 1.00 (0.00) 1.00 (0.00) 1.00 (0.00) 0.99 1.00 0.86
  PLS-CV 1.00 (0.00) 1.00 (0.00) 0.89 (0.25) 0.99 0.95 0.93
  SAM 1.00 (0.00) 1.00 (0.00) 0.91 (0.19) 0.99 0.95 0.93
  cat 1.00 (0.00) 1.00 (0.00) 0.95 (0.14) 0.99 0.95 0.93
  HykGene 1.00 (0.00) 1.00 (0.00) 0.90 (0.20) 0.97 0.90 0.93
  Rnd 0.99 (0.01) 0.98 (0.02) 0.86 (0.06) 0.97 0.99 0.75
  maxT 1.00 (0.02) 0.98 (0.07) 0.85 (0.27) 0.96 1.00 0.64
  mAP-KL 1.00 (0.00) 1.00 (0.00) 0.97 (0.17) 0.71 0.90 0.43
  PCA 0.56 (0.16) 1.00 (0.00) 0.00 (0.00) 0.64 0.95 0.14
  SNR 0.50 (0.00) 1.00 (0.00) 0.00 (0.00) 0.50 1.00 0.00
  t-test 0.50 (0.00) 1.00 (0.00) 0.00 (0.00) 0.50 1.00 0.00
  ODP - - - - - -
PROSTATE SAM 0.96 (0.04) 0.97 (0.05) 0.88 (0.10) 0.92 0.00 1.00
  maxT(200) 0.95 (0.10) 0.95 (0.10) 0.89 (0.10) 0.88 0.00 1.00
  PLS-CV 0.97 (0.03) 0.95 (0.08) 0.92 (0.07) 0.87 0.33 1.00
  eBayes 0.96 (0.04) 0.98 (0.04) 0.89 (0.10) 0.86 0.00 1.00
  RF-MDA 0.97 (0.04) 0.97 (0.06) 0.90 (0.09) 0.83 0.11 1.00
  mAP-KL 0.93 (0.06) 0.90 (0.09) 0.85 (0.11) 0.80 1.00 0.36
  BGA-COA 0.95 (0.05) 0.91 (0.09) 0.89 (0.10) 0.73 0.22 0.88
  Rnd 0.93 (0.02) 0.89 (0.04) 0.86 (0.03) 0.70 0.18 0.94
  HykGene 1.00 (0.00) 1.00 (0.00) 1.00 (0.00) 0.69 0.89 0.24
  maxT 0.89 (0.07) 0.88 (0.09) 0.79 (0.13) 0.50 0.00 1.00
  PCA 0.84 (0.09) 0.77 (0.15) 0.75 (0.15) 0.50 0.00 1.00
  SNR 0.50 (0.00) 0.08 (0.27) 0.92 (0.27) 0.50 0.00 1.00
  t-test 0.50 (0.00) 0.08 (0.27) 0.92 (0.27) 0.50 0.00 1.00
  ODP - - - - - -
  cat - - - - - -