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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].