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Table 4 Means and standard derivations of AUC, accuracy (ACC), sensitivity (SEN) and specificity (SPE) for 5-fold cross validation on van de Vijver et al. [23] (top) and Wang et al [24] (bottom) for netSVM, other network-based methods and gene-based methods.

From: Identifying cancer biomarkers by network-constrained support vector machines

  network-based method gene-based method previous study
  net
SVM
F-norm
SVM
Larsnet Chuang's
method*
SVM Lasso t-test + LDA 70 genes
[23]*
76 genes
[24]*
AUC 0.68 ± 0.60 ± 0.69 ± - 0.63 ± 0.61 ± 0.64 ± - -
  0.02 0.02 0.02   0.02 0.02 0.02   
ACC 0.65 ± 0.62 ± 0.67 ± 0.70 0.63 ± 0.53 ± 0.64 ± 0.62 -
  0.02 0.02 0.02   0.02 0.02 0.02   
SEN 0.51 ± 0.50 ± 0.71 ± 0.90 0.49 ± 0.73 ± 0.44 ± 0.93 -
  0.04 0.02 0.03   0.04 0.02 0.02   
SPE 0.74 ± 0.67 ± 0.67 ± 0.63 0.71 ± 0.47 ± 0.71 ± 0.53 -
  0.03 0.02 0.02   0.03 0.02 0.02   
AUC 0.73 ± 0.64 ± 0.70 ± - 0.72 ± 0.68 ± 0.60 ± - -
  0.02 0.01 0.02   0.02 0.02 0.02   
ACC 0.71 ± 0.63 ± 0.68 ± 0.72 0.70 ± 0.68 ± 0.59 ± - 0.62
  0.02 0.01 0.02   0.02 0.02 0.02   
SEN 0.42 ± 0.61 ± 0.65 ± 0.90 0.42 ± 0.63 ± 0.49 ± - 0.93
  0.04 0.02 0.03   0.04 0.03 0.02   
SPE 0.81 ± 0.64 ± 0.71 ± 0.62 0.80 ± 0.72 ± 0.65 ± - 0.53
  0.02 0.02 0.02   0.02 0.02 0.02   
  1. *: results are extracted from the study [14].
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