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 | - |