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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