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Table 5 AUC, accuracy (ACC), sensitivity (SEN) and specificity (SPE) for independent testing 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 0.61 0.50 0.58 0.72 0.55 0.51 0.54 - 0.50
ACC 0.67 0.64 0.70 0.56 0.62 0.66 0.62 - 0.49
SEN 0.47 0.36 0.38 0.90 0.47 0.33 0.62 - 0.37
SPE 0.75 0.75 0.82 0.43 0.68 0.78 0.62 - 0.54
AUC 0.64 0.60 0.66 0.63 0.62 0.61 0.60 0.60 -
ACC 0.65 0.59 0.60 0.49 0.64 0.62 0.57 0.59 -
SEN 0.53 0.63 0.47 0.90 0.51 0.60 0.44 0.45 -
SPE 0.73 0.58 0.82 0.24 0.72 0.65 0.66 0.67 -
  1. *: results are extracted from the study [14].