Skip to main content

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 - - - - - -