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Table 1 Means and standard derivations of AUC values of prediction on simulation data sets with different signal-to-noise levels for netSVM, other network-based methods and gene-based methods.

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

SNR

(db)

network-based method

gene-based method

 

netSVM

F∞-norm SVM

Larsnet

SVM

Lasso

LDA

10

1.00 ± 0.00

1.00 ± 0.00

0.62 ± 0.07

1.00 ± 0.00

0.61 ± 0.04

1.00 ± 0.00

8

1.00 ± 0.00

1.00 ± 0.00

0.60 ± 0.05

1.00 ± 0.00

0.59 ± 0.05

1.00 ± 0.00

6

1.00 ± 0.00

1.00 ± 0.00

0.58 ± 0.05

1.00 ± 0.00

0.57 ± 0.05

1.00 ± 0.00

4

1.00 ± 0.00

1.00 ± 0.00

0.57 ± 0.05

1.00 ± 0.00

0.56 ± 0.03

1.00 ± 0.00

2

1.00 ± 0.00

1.00 ± 0.00

0.57 ± 0.03

1.00 ± 0.00

0.55 ± 0.04

1.00 ± 0.00

0

1.00 ± 0.00

1.00 ± 0.00

0.58 ± 0.03

1.00 ± 0.00

0.57 ± 0.04

0.99 ± 0.01

-2

0.99 ± 0.01

0.98 ± 0.01

0.57 ± 0.03

0.99 ± 0.01

0.56 ± 0.04

0.98 ± 0.01

-4

0.99 ± 0.01

0.94 ± 0.03

0.58 ± 0.04

0.97 ± 0.02

0.57 ± 0.04

0.93 ± 0.01

-6

0.95 ± 0.02

0.88 ± 0.04

0.58 ± 0.03

0.93 ± 0.03

0.56 ± 0.04

0.88 ± 0.03

-8

0.88 ± 0.03

0.81 ± 0.05

0.57 ± 0.04

0.81 ± 0.04

0.56 ± 0.04

0.83 ± 0.02

-10

0.82 ± 0.04

0.73 ± 0.05

0.56 ± 0.04

0.75 ± 0.03

0.57 ± 0.05

0.76 ± 0.02