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Table 1 Summary results for the SVM-RCE, SVM-RFE and PDA-RFE method. Summary results for the SVM-RCE, SVM-RFE and PDA-RFE method applied on 6 public datasets. #c field is the number of clusters for the SVM-RCE method. The #g field is the number of genes in the associated #c clusters for SVM-RCE, while for the SVM-RFE and PDA-RFE indicates the number of genes used.

From: Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data

  Leukemia(I) CTCL(I) CTCL(II) Head & Neck vs. Lung tumors (I) Head & Neck vs. Lung tumors (II) Prostate
  #c #g ACC #c #g ACC #c #g ACC #c #g ACC #c #g ACC #c #g ACC
SVM- 2 12 99% 2 8 100% 2 8 91% 2 8 100% 2 9 100% 2 8 87%
RCE 3 32 98% 9 32 100% 9 34 96% 8 32 100% 6 32 100% 11 36 95%
  28 100 97% 32 101 100% 28 104 96% 28 103 100% 25 103 100% 32 100 93%
SVM-RFE   11 96%   9 89%   8 84%   8 92%   8 98%   8 93%
   32 96%   32 94%   32 85%   32 90%   32 98%   36 95%
   102 97%   102 100%   102 87%   102 90%   102 98%   102 94%
PDA-RFE   8 96%   8 92%   8 83%   8 89%   8 70%   8 94%
   32 96%   32 92%   33 81%   31 96%   32 98%   32 94%
   104 96%   104 95%   108 79%   109 96%   102 98%   104 90%